Football / gen5
Viewer
!new Club('club9')
!club9.name := 'Sky Falcons'
!club9.homeGround := 'Falcon Field'
!club9.chairman := 'Sophia Carter'
!new Club('club10')
!club10.name := 'Sun Dragons'
!club10.homeGround := 'Dragon Arena'
!club10.chairman := 'Liam Edwards'
!new Team('team9')
!team9.name := 'Falcon Flyers'
!insert (club9, team9) into ClubTeam
!new Team('team10')
!team10.name := 'Dragon Warriors'
!insert (club10, team10) into ClubTeam
!new Competition('springCup')
!springCup.name := 'Spring Cup'
!springCup.type := 'Knockout'
!new Match('match5')
!match5.date := '2024-03-15'
!match5.homeAway := false
!insert (springCup, match5) into CompetitionMatch
!insert (team9, match5) into LocalMatch
!insert (team10, match5) into VisitorMatch
!new MatchReport('report5')
!report5.duration := 90
!report5.scoreVisitor := 0
!report5.scoreLocal := 1
!insert (match5, report5) into MatchMatchReport
!new Player('player9')
!player9.name := 'Elliot Sky'
!player9.age := 26
!player9.bestFoot := #RIGHT
!player9.phoneNumber := '8901234567'
!insert (team9, player9) into TeamPlayer
!new Player('player10')
!player10.name := 'Isabella Dawn'
!player10.age := 22
!player10.bestFoot := #LEFT
!player10.phoneNumber := '9012345678'
!insert (team10, player10) into TeamPlayer
!new Position('position9')
!position9.positionName := #GOALKEEPER
!insert (player9, position9) into PlayerPositions
!new Position('position10')
!position10.positionName := #MIDFIELDER
!insert (player10, position10) into PlayerPositions
!new MatchPlayer('matchPlayer9')
!matchPlayer9.booked := false
!matchPlayer9.goals := 0
!matchPlayer9.rating := 8
!insert (player9, matchPlayer9) into PlayerMatch
!insert (match5, matchPlayer9) into MatchMatchPlayer
!new MatchPlayer('matchPlayer10')
!matchPlayer10.booked := true
!matchPlayer10.goals := 0
!matchPlayer10.rating := 6
!insert (player10, matchPlayer10) into PlayerMatch
!insert (match5, matchPlayer10) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition9')
!matchPlayerPosition9.positionName := #GOALKEEPER
!matchPlayerPosition9.number := 1
!insert (matchPlayer9, matchPlayerPosition9) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition10')
!matchPlayerPosition10.positionName := #MIDFIELDER
!matchPlayerPosition10.number := 8
!insert (matchPlayer10, matchPlayerPosition10) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event18')
!event18.eventType := #GOAL
!event18.time := 60
!insert (match5, event18) into MatchMatchEvent
!new TrainingSession('training9')
!training9.date := '2024-02-05'
!training9.location := 'Falcon Nest'
!training9.purpose := 'Tactical Training'
!insert (team9, training9) into TeamTraining
!new TrainingSession('training10')
!training10.date := '2024-02-15'
!training10.location := 'Dragon Lair'
!training10.purpose := 'Team Building'
!insert (team10, training10) into TeamTraining
!new TrainingNotes('trainingNote9')
!trainingNote9.note := 'Enhanced ball control skills'
!trainingNote9.date := '2024-02-05'
!insert (training9, trainingNote9) into TrainingTrainingNotes
!new TrainingNotes('trainingNote10')
!trainingNote10.note := 'Improved team communication'
!trainingNote10.date := '2024-02-15'
!insert (training10, trainingNote10) into TrainingTrainingNotes
!new TrainingObjective('objective9')
!objective9.areaToImprove := 'Passing Accuracy'
!objective9.startDate := '2023-12-01'
!objective9.endDate := '2024-03-01'
!objective9.success := true
!insert (objective9, player9) into TrainingObjectivePlayer
!new TrainingObjective('objective10')
!objective10.areaToImprove := 'Stamina'
!objective10.startDate := '2023-12-10'
!objective10.endDate := '2024-03-10'
!objective10.success := true
!insert (objective10, player10) into TrainingObjectivePlayer model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) Given a conceptual model expressed in the UML-based Specification Environment (USE), your task is to generate valid and realistic instances that conform to the provided model. <requirements> - Instances must be syntactically correct according to the USE syntax_reference. - Avoid unnecessary comments and output the instance in plain text (i.e., not markdown). - Make sure instances fulfill all the model's constraints, and that multiplicities, relationships, and attributes are valid and realistic. - Provide multiple instances with diverse data values and structure. </requirements> <syntax_reference> Here there is a snippet showing how to create objects and set values in the specific .soil language required: -- This is a comment example -- Primitive data types: -- Integer i.e. 1, 2, 3, etc. -- Real i.e. 1.0, 21.89, 322.05556, etc. -- Boolean i.e. true or false -- String i.e. 'Hello World' -- You can create instances with the following syntax: !new <instance type>('<instance name>') -- Example: !new Client('client1') !new Store('store4') -- You can assign values to attributes for a created instance with the following syntax: !<instance name>.<attribute name> := <value> -- Example for different data types: !client1.clientId := 1 -- For Integer !client1.balance := 1123.45 -- For Real !client1.name := 'John' -- For Strings !store4.available := true -- For Boolean -- You can create associations between instances with the following syntax: !insert (<instance name1>, <instance name2>) into <association name> -- Example: !insert (client1, store4) into ClientStore -- Custom data types usage: -- dataType Location -- operations -- Location(x : Real, y : Real) -- some other operations -- end -- You can create custom data types by calling the constructor directly; in this case, the constructor of Location requires two arguments: x and y of type Real. So it can be used as follows: !store4.location := Location(14.0, 289.0) -- Enums usage: -- enum Type { Clothes, Shoes } -- Can be used as follows: !store4.type := #Clothes </syntax_reference> Please generate another instance that is structurally and semantically different from the previous ones. The last output is partially incorrect:
output.soil> !training10.date := '2024-02-15'
output.soil> !training10.location := 'Dragon's Lair'
<input>:line 1:31 missing EOF at 's'
Please provide the complete output corrected <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('club9')
!club9.name := 'Sky Falcons'
!club9.homeGround := 'Falcon Field'
!club9.chairman := 'Sophia Carter'
!new Club('club10')
!club10.name := 'Sun Dragons'
!club10.homeGround := 'Dragon Arena'
!club10.chairman := 'Liam Edwards'
!new Team('team9')
!team9.name := 'Falcon Flyers'
!insert (club9, team9) into ClubTeam
!new Team('team10')
!team10.name := 'Dragon Warriors'
!insert (club10, team10) into ClubTeam
!new Competition('springCup')
!springCup.name := 'Spring Cup'
!springCup.type := 'Knockout'
!new Match('match5')
!match5.date := '2024-03-15'
!match5.homeAway := false
!insert (springCup, match5) into CompetitionMatch
!insert (team9, match5) into LocalMatch
!insert (team10, match5) into VisitorMatch
!new MatchReport('report5')
!report5.duration := 90
!report5.scoreVisitor := 0
!report5.scoreLocal := 1
!insert (match5, report5) into MatchMatchReport
!new Player('player9')
!player9.name := 'Elliot Sky'
!player9.age := 26
!player9.bestFoot := #RIGHT
!player9.phoneNumber := '8901234567'
!insert (team9, player9) into TeamPlayer
!new Player('player10')
!player10.name := 'Isabella Dawn'
!player10.age := 22
!player10.bestFoot := #LEFT
!player10.phoneNumber := '9012345678'
!insert (team10, player10) into TeamPlayer
!new Position('position9')
!position9.positionName := #GOALKEEPER
!insert (player9, position9) into PlayerPositions
!new Position('position10')
!position10.positionName := #MIDFIELDER
!insert (player10, position10) into PlayerPositions
!new MatchPlayer('matchPlayer9')
!matchPlayer9.booked := false
!matchPlayer9.goals := 0
!matchPlayer9.rating := 8
!insert (player9, matchPlayer9) into PlayerMatch
!insert (match5, matchPlayer9) into MatchMatchPlayer
!new MatchPlayer('matchPlayer10')
!matchPlayer10.booked := true
!matchPlayer10.goals := 0
!matchPlayer10.rating := 6
!insert (player10, matchPlayer10) into PlayerMatch
!insert (match5, matchPlayer10) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition9')
!matchPlayerPosition9.positionName := #GOALKEEPER
!matchPlayerPosition9.number := 1
!insert (matchPlayer9, matchPlayerPosition9) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition10')
!matchPlayerPosition10.positionName := #MIDFIELDER
!matchPlayerPosition10.number := 8
!insert (matchPlayer10, matchPlayerPosition10) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event18')
!event18.eventType := #GOAL
!event18.time := 60
!insert (match5, event18) into MatchMatchEvent
!new TrainingSession('training9')
!training9.date := '2024-02-05'
!training9.location := 'Falcon Nest'
!training9.purpose := 'Tactical Training'
!insert (team9, training9) into TeamTraining
!new TrainingSession('training10')
!training10.date := '2024-02-15'
!training10.location := 'Dragon Lair'
!training10.purpose := 'Team Building'
!insert (team10, training10) into TeamTraining
!new TrainingNotes('trainingNote9')
!trainingNote9.note := 'Enhanced ball control skills'
!trainingNote9.date := '2024-02-05'
!insert (training9, trainingNote9) into TrainingTrainingNotes
!new TrainingNotes('trainingNote10')
!trainingNote10.note := 'Improved team communication'
!trainingNote10.date := '2024-02-15'
!insert (training10, trainingNote10) into TrainingTrainingNotes
!new TrainingObjective('objective9')
!objective9.areaToImprove := 'Passing Accuracy'
!objective9.startDate := '2023-12-01'
!objective9.endDate := '2024-03-01'
!objective9.success := true
!insert (objective9, player9) into TrainingObjectivePlayer
!new TrainingObjective('objective10')
!objective10.areaToImprove := 'Stamina'
!objective10.startDate := '2023-12-10'
!objective10.endDate := '2024-03-10'
!objective10.success := true
!insert (objective10, player10) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object model is logically consistent and adheres to real-world domain logic. The player ages, ratings, and positions are plausible (e.g., number 1 for a goalkeeper, number 8 for a midfielder). The match report correctly mirrors the match events, with exactly one 'GOAL' event recorded for a final score of 1-0, within a standard 90-minute duration. Dates for training objectives and events follow a chronological order.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.08 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/100 |
| Multiplicities | 0/23 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 92.4% |
| String Equals | 99.6% |
| String LV | 86.7% |
| Shannon (Active) | 0.667 ± 0.471 |
| Shannon (All) | 0.377 ± 0.272 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 81.3% |
| Attributes | 86.5% |
| Relationships | 77.8% |
Uncovered Items 12
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 22/∞ |
| Attributes | 55/55 |
| Relationships | 23/∞ |
Viewer
!new Club('clubAT')
!clubAT.name := 'Milan Masters'
!clubAT.homeGround := 'San Siro'
!clubAT.chairman := 'Antonio Bianchi'
!new Club('clubAU')
!clubAU.name := 'New York Knights'
!clubAU.homeGround := 'Liberty Stadium'
!clubAU.chairman := 'Jessica Carter'
!new Team('teamAT')
!teamAT.name := 'Milan Masters Legends'
!new Team('teamAU')
!teamAU.name := 'New York Knights Elite'
!insert (clubAT, teamAT) into ClubTeam
!insert (clubAU, teamAU) into ClubTeam
!new Player('player52')
!player52.name := 'Marco Bellini'
!player52.age := 29
!player52.bestFoot := #RIGHT
!player52.phoneNumber := '+39-347-1234567'
!new Player('player53')
!player53.name := 'Alex Baker'
!player53.age := 26
!player53.bestFoot := #LEFT
!player53.phoneNumber := '+1-212-3456789'
!insert (teamAT, player52) into TeamPlayer
!insert (teamAU, player53) into TeamPlayer
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position110')
!position110.positionName := #DEFENDER
!insert (player52, position109) into PlayerPositions
!insert (player53, position110) into PlayerPositions
!new Competition('competition20')
!competition20.name := 'Global Soccer Super Cup'
!competition20.type := 'International Tournament'
!new Match('match26')
!match26.date := '2023-10-20'
!match26.homeAway := false
!insert (teamAT, match26) into VisitorMatch
!insert (teamAU, match26) into LocalMatch
!insert (competition20, match26) into CompetitionMatch
!new MatchReport('matchReport26')
!matchReport26.duration := 90
!matchReport26.scoreVisitor := 1
!matchReport26.scoreLocal := 1
!insert (match26, matchReport26) into MatchMatchReport
!new MatchEvent('matchEvent72')
!matchEvent72.eventType := #GOAL
!matchEvent72.time := 47
!new MatchEvent('matchEvent73')
!matchEvent73.eventType := #FOUL
!matchEvent73.time := 30
!new MatchEvent('matchEvent74')
!matchEvent74.eventType := #GOAL
!matchEvent74.time := 90
!insert (match26, matchEvent72) into MatchMatchEvent
!insert (match26, matchEvent73) into MatchMatchEvent
!insert (match26, matchEvent74) into MatchMatchEvent
!new MatchNote('matchNote16')
!matchNote16.note := 'The game ended in a stalemate, with both teams showing strong defensive skills.'
!matchNote16.date := '2023-10-20'
!insert (match26, matchNote16) into MatchMatchNote
!new TrainingSession('trainingSession40')
!trainingSession40.date := '2023-11-02'
!trainingSession40.location := 'Milan Training Complex'
!trainingSession40.purpose := 'Improving Ball Retention'
!new TrainingSession('trainingSession41')
!trainingSession41.date := '2023-11-03'
!trainingSession41.location := 'Knights Training Facility'
!trainingSession41.purpose := 'Concentration on Defense Breakout'
!insert (teamAT, trainingSession40) into TeamTraining
!insert (teamAU, trainingSession41) into TeamTraining
!new TrainingNotes('trainingNote40')
!trainingNote40.note := 'Emphasis on short passing and maintaining possession under pressure.'
!trainingNote40.date := '2023-11-02'
!new TrainingNotes('trainingNote41')
!trainingNote41.note := 'Drills focused on defensive organization and quick transition to attack.'
!trainingNote41.date := '2023-11-03'
!insert (trainingSession40, trainingNote40) into TrainingTrainingNotes
!insert (trainingSession41, trainingNote41) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail16')
!trainingFail16.reason := 'Visa Issues'
!insert (trainingFail16, player53) into FailedPlayer
!insert (trainingSession41, trainingFail16) into TrainingFailded
!new TrainingObjective('trainingObjective39')
!trainingObjective39.areaToImprove := 'Crossing Accuracy'
!trainingObjective39.startDate := '2023-10-01'
!trainingObjective39.endDate := '2023-11-29'
!trainingObjective39.success := true
!new TrainingObjective('trainingObjective40')
!trainingObjective40.areaToImprove := 'Defensive Tactics'
!trainingObjective40.startDate := '2023-10-01'
!trainingObjective40.endDate := '2023-11-29'
!trainingObjective40.success := true
!insert (trainingObjective39, player52) into TrainingObjectivePlayer
!insert (trainingObjective40, player53) into TrainingObjectivePlayer
!new PlayerNotes('playerNote22')
!playerNote22.note := 'Consistently delivers pinpoint crosses.'
!playerNote22.date := '2023-09-15'
!insert (player52, playerNote22) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer47')
!matchPlayer47.booked := false
!matchPlayer47.goals := 1
!matchPlayer47.rating := 8
!new MatchPlayer('matchPlayer48')
!matchPlayer48.booked := false
!matchPlayer48.goals := 0
!matchPlayer48.rating := 7
!insert (player52, matchPlayer47) into PlayerMatch
!insert (player53, matchPlayer48) into PlayerMatch
!insert (match26, matchPlayer47) into MatchMatchPlayer
!insert (match26, matchPlayer48) into MatchMatchPlayer
!new MatchPlayerPosition('mpp47')
!mpp47.positionName := #FORWARD
!mpp47.number := 11
!new MatchPlayerPosition('mpp48')
!mpp48.positionName := #DEFENDER
!mpp48.number := 3
!insert (matchPlayer47, mpp47) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer48, mpp48) into MatchPlayerMatchPlayerPosition model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Football Baseline Instance – Distinct Scenario
### Club
- **Club Instance 1:**
- `name`: "Milan Masters"
- `homeGround`: "San Siro"
- `chairman`: "Antonio Bianchi"
- **Club Instance 2:**
- `name`: "New York Knights"
- `homeGround`: "Liberty Stadium"
- `chairman`: "Jessica Carter"
### Team
- **Team Instance 1 (Milan Masters):**
- `name`: "Milan Masters Legends"
- **Team Instance 2 (New York Knights):**
- `name`: "New York Knights Elite"
### Competition
- **Competition Instance 1:**
- `name`: "Global Soccer Super Cup"
- `type`: "International Tournament"
### TrainingSession
- **TrainingSession Instance 1 (Team: Milan Masters Legends):**
- `date`: "2023-11-02"
- `location`: "Milan Training Complex"
- `purpose`: "Improving Ball Retention"
- **TrainingSession Instance 2 (Team: New York Knights Elite):**
- `date`: "2023-11-03"
- `location`: "Knights Training Facility"
- `purpose`: "Concentration on Defense Breakout"
### TrainingNotes
- **TrainingNotes Instance 1 (Session: Milan Training Session):**
- `note`: "Emphasis on short passing and maintaining possession under pressure."
- `date`: "2023-11-02"
- **TrainingNotes Instance 2 (Session: New York Training Session):**
- `note`: "Drills focused on defensive organization and quick transition to attack."
- `date`: "2023-11-03"
### TrainingFailedToAttend
- **TrainingFailedToAttend Instance 1 (Session: New York Training Session; Player: Alex Baker):**
- `reason`: "Visa Issues"
### MatchEvent
- **MatchEvent Instance 1 (Match: Milan Masters vs. New York Knights):**
- `eventType`: GOAL
- `time`: 47
- **MatchEvent Instance 2 (Match: Milan Masters vs. New York Knights):**
- `eventType`: FOUL
- `time`: 30
- **MatchEvent Instance 3 (Match: Milan Masters vs. New York Knights):**
- `eventType`: GOAL
- `time`: 90
### Match
- **Match Instance 1 (Competition: Global Soccer Super Cup):**
- `date`: "2023-10-20"
- `homeAway`: False
### MatchReport
- **MatchReport Instance 1 (Match: Milan Masters vs. New York Knights):**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 1
### MatchNote
- **MatchNote Instance 1 (Match: Milan Masters vs. New York Knights):**
- `note`: "The game ended in a stalemate, with both teams showing strong defensive skills."
- `date`: "2023-10-20"
### Player
- **Player Instance 1 (Team: Milan Masters Legends):**
- `name`: "Marco Bellini"
- `age`: 29
- `bestFoot`: RIGHT
- `phoneNumber`: "+39-347-1234567"
- **Player Instance 2 (Team: New York Knights Elite):**
- `name`: "Alex Baker"
- `age`: 26
- `bestFoot`: LEFT
- `phoneNumber`: "+1-212-3456789"
### PlayerNotes
- **PlayerNotes Instance 1 (Player: Marco Bellini):**
- `note`: "Consistently delivers pinpoint crosses."
- `date`: "2023-09-15"
### TrainingObjective
- **TrainingObjective Instance 1 (Player: Marco Bellini):**
- `areaToImprove`: "Crossing Accuracy"
- `startDate`: "2023-10-01"
- `endDate`: "2023-11-29"
- `success`: True
### MatchPlayer
- **MatchPlayer Instance 1 (Player: Marco Bellini):**
- `booked`: False
- `goals`: 1
- `rating`: 8
- **MatchPlayer Instance 2 (Player: Alex Baker):**
- `booked`: False
- `goals`: 0
- `rating`: 7
### MatchPlayerPosition
- **MatchPlayerPosition Instance 1 (MatchPlayer: Marco Bellini):**
- `positionName`: Forward
- `number`: 11
- **MatchPlayerPosition Instance 2 (MatchPlayer: Alex Baker):**
- `positionName`: Defender
- `number`: 3
### Position
- **Position Instance 1 (Player: Marco Bellini):**
- `positionName`: Striker
- **Position Instance 2 (Player: Alex Baker):**
- `positionName`: Central Defense
### Relationships and Constraints
- The `Milan Masters Legends` is part of the `Milan Masters` club.
- The `New York Knights Elite` is part of the `New York Knights` club.
- The match on "2023-10-20" is an away match for `Milan Masters Legends`, with the game location treating `New York Knights Elite` as the home team.
- Match goals tally with recorded scoring events, ensuring data integrity.
- `Alex Baker` was absent due to visa issues feeding into logistical challenges faced in international gaming circuits. The last output is partially incorrect:
temp.soil> !new Position('position109')
temp.soil> !position109.positionName := #STRIKER
<input>:1:0: generation of expression `#STRIKER' failed, with following error:
<input>:1:29: Undefined enumeration literal `STRIKER'.
temp.soil> !new Position('position110')
temp.soil> !position110.positionName := #CENTRAL_DEFENSE
<input>:1:0: generation of expression `#CENTRAL_DEFENSE' failed, with following error:
<input>:1:29: Undefined enumeration literal `CENTRAL_DEFENSE'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player53' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAT')
!clubAT.name := 'Milan Masters'
!clubAT.homeGround := 'San Siro'
!clubAT.chairman := 'Antonio Bianchi'
!new Club('clubAU')
!clubAU.name := 'New York Knights'
!clubAU.homeGround := 'Liberty Stadium'
!clubAU.chairman := 'Jessica Carter'
!new Team('teamAT')
!teamAT.name := 'Milan Masters Legends'
!new Team('teamAU')
!teamAU.name := 'New York Knights Elite'
!insert (clubAT, teamAT) into ClubTeam
!insert (clubAU, teamAU) into ClubTeam
!new Player('player52')
!player52.name := 'Marco Bellini'
!player52.age := 29
!player52.bestFoot := #RIGHT
!player52.phoneNumber := '+39-347-1234567'
!new Player('player53')
!player53.name := 'Alex Baker'
!player53.age := 26
!player53.bestFoot := #LEFT
!player53.phoneNumber := '+1-212-3456789'
!insert (teamAT, player52) into TeamPlayer
!insert (teamAU, player53) into TeamPlayer
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position110')
!position110.positionName := #DEFENDER
!insert (player52, position109) into PlayerPositions
!insert (player53, position110) into PlayerPositions
!new Competition('competition20')
!competition20.name := 'Global Soccer Super Cup'
!competition20.type := 'International Tournament'
!new Match('match26')
!match26.date := '2023-10-20'
!match26.homeAway := false
!insert (teamAT, match26) into VisitorMatch
!insert (teamAU, match26) into LocalMatch
!insert (competition20, match26) into CompetitionMatch
!new MatchReport('matchReport26')
!matchReport26.duration := 90
!matchReport26.scoreVisitor := 1
!matchReport26.scoreLocal := 1
!insert (match26, matchReport26) into MatchMatchReport
!new MatchEvent('matchEvent72')
!matchEvent72.eventType := #GOAL
!matchEvent72.time := 47
!new MatchEvent('matchEvent73')
!matchEvent73.eventType := #FOUL
!matchEvent73.time := 30
!new MatchEvent('matchEvent74')
!matchEvent74.eventType := #GOAL
!matchEvent74.time := 90
!insert (match26, matchEvent72) into MatchMatchEvent
!insert (match26, matchEvent73) into MatchMatchEvent
!insert (match26, matchEvent74) into MatchMatchEvent
!new MatchNote('matchNote16')
!matchNote16.note := 'The game ended in a stalemate, with both teams showing strong defensive skills.'
!matchNote16.date := '2023-10-20'
!insert (match26, matchNote16) into MatchMatchNote
!new TrainingSession('trainingSession40')
!trainingSession40.date := '2023-11-02'
!trainingSession40.location := 'Milan Training Complex'
!trainingSession40.purpose := 'Improving Ball Retention'
!new TrainingSession('trainingSession41')
!trainingSession41.date := '2023-11-03'
!trainingSession41.location := 'Knights Training Facility'
!trainingSession41.purpose := 'Concentration on Defense Breakout'
!insert (teamAT, trainingSession40) into TeamTraining
!insert (teamAU, trainingSession41) into TeamTraining
!new TrainingNotes('trainingNote40')
!trainingNote40.note := 'Emphasis on short passing and maintaining possession under pressure.'
!trainingNote40.date := '2023-11-02'
!new TrainingNotes('trainingNote41')
!trainingNote41.note := 'Drills focused on defensive organization and quick transition to attack.'
!trainingNote41.date := '2023-11-03'
!insert (trainingSession40, trainingNote40) into TrainingTrainingNotes
!insert (trainingSession41, trainingNote41) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail16')
!trainingFail16.reason := 'Visa Issues'
!insert (trainingFail16, player53) into FailedPlayer
!insert (trainingSession41, trainingFail16) into TrainingFailded
!new TrainingObjective('trainingObjective39')
!trainingObjective39.areaToImprove := 'Crossing Accuracy'
!trainingObjective39.startDate := '2023-10-01'
!trainingObjective39.endDate := '2023-11-29'
!trainingObjective39.success := true
!new TrainingObjective('trainingObjective40')
!trainingObjective40.areaToImprove := 'Defensive Tactics'
!trainingObjective40.startDate := '2023-10-01'
!trainingObjective40.endDate := '2023-11-29'
!trainingObjective40.success := true
!insert (trainingObjective39, player52) into TrainingObjectivePlayer
!insert (trainingObjective40, player53) into TrainingObjectivePlayer
!new PlayerNotes('playerNote22')
!playerNote22.note := 'Consistently delivers pinpoint crosses.'
!playerNote22.date := '2023-09-15'
!insert (player52, playerNote22) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer47')
!matchPlayer47.booked := false
!matchPlayer47.goals := 1
!matchPlayer47.rating := 8
!new MatchPlayer('matchPlayer48')
!matchPlayer48.booked := false
!matchPlayer48.goals := 0
!matchPlayer48.rating := 7
!insert (player52, matchPlayer47) into PlayerMatch
!insert (player53, matchPlayer48) into PlayerMatch
!insert (match26, matchPlayer47) into MatchMatchPlayer
!insert (match26, matchPlayer48) into MatchMatchPlayer
!new MatchPlayerPosition('mpp47')
!mpp47.positionName := #FORWARD
!mpp47.number := 11
!new MatchPlayerPosition('mpp48')
!mpp48.positionName := #DEFENDER
!mpp48.number := 3
!insert (matchPlayer47, mpp47) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer48, mpp48) into MatchPlayerMatchPlayerPosition
</object_model> LLM as a Judge
The object model represents a valid scenario. Player attributes (e.g., ages 26 and 29) and match data (duration 90) are completely aligned with real-world football mechanics. The sum of scores in the MatchReport (1 + 1 = 2) perfectly matches the two 'GOAL' type MatchEvents created, satisfying the constraint, and the 'Visa Issues' reason for missing training is a highly plausible real-world scenario for international players.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.82 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/120 |
| Multiplicities | 0/29 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 95.6% |
| String Equals | 99.2% |
| String LV | 85.7% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.509 ± 0.096 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 100.0% |
| Attributes | 100.0% |
| Relationships | 100.0% |
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 27/∞ |
| Attributes | 64/64 |
| Relationships | 29/∞ |
Viewer
!new Club('clubAV')
!clubAV.name := 'Sunshine Sharks'
!clubAV.homeGround := 'Coral Reef Stadium'
!clubAV.chairman := 'Miguel Santiago'
!new Club('clubAW')
!clubAW.name := 'Thunder Wolves'
!clubAW.homeGround := 'Storm Valley Arena'
!clubAW.chairman := 'Ingrid Svensson'
!new Team('teamAV')
!teamAV.name := 'Coral Predators'
!new Team('teamAW')
!teamAW.name := 'Lightning Strikers'
!insert (clubAV, teamAV) into ClubTeam
!insert (clubAW, teamAW) into ClubTeam
!new Player('player54')
!player54.name := 'Liam Jackson'
!player54.age := 29
!player54.bestFoot := #RIGHT
!player54.phoneNumber := '+61400123456'
!new Player('player55')
!player55.name := 'Sofia Oliveira'
!player55.age := 24
!player55.bestFoot := #LEFT
!player55.phoneNumber := '+351912345678'
!insert (teamAV, player54) into TeamPlayer
!insert (teamAV, player55) into TeamPlayer
!new Position('position111')
!position111.positionName := #DEFENDER
!new Position('position114')
!position114.positionName := #MIDFIELDER
!new Position('position115')
!position115.positionName := #ATTACKING_MIDFIELDER
!insert (player54, position111) into PlayerPositions
!insert (player55, position114) into PlayerPositions
!insert (player55, position115) into PlayerPositions
!new TrainingSession('trainingSession42')
!trainingSession42.date := '2023-08-30'
!trainingSession42.location := 'Ocean Front Park'
!trainingSession42.purpose := 'Tactics for Wet Weather Play'
!new TrainingSession('trainingSession43')
!trainingSession43.date := '2023-08-31'
!trainingSession43.location := 'Storm Valley Arena'
!trainingSession43.purpose := 'Defensive Structuring under Pressure'
!insert (teamAV, trainingSession42) into TeamTraining
!insert (teamAW, trainingSession43) into TeamTraining
!new TrainingNotes('trainingNote42')
!trainingNote42.note := 'Practiced rapid ball movement on wet surfaces.'
!trainingNote42.date := '2023-08-30'
!new TrainingNotes('trainingNote43')
!trainingNote43.note := 'Drills on maintaining line integrity under fast opponent incursions.'
!trainingNote43.date := '2023-08-31'
!insert (trainingSession42, trainingNote42) into TrainingTrainingNotes
!insert (trainingSession43, trainingNote43) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail17')
!trainingFail17.reason := 'Injury recovery'
!insert (trainingFail17, player54) into FailedPlayer
!insert (trainingSession42, trainingFail17) into TrainingFailded
!new Competition('competition21')
!competition21.name := 'Pacific Championship Cup'
!competition21.type := 'Tournament'
!new Match('match27')
!match27.date := '2023-09-05'
!match27.homeAway := true
!insert (teamAW, match27) into LocalMatch
!insert (teamAV, match27) into VisitorMatch
!insert (competition21, match27) into CompetitionMatch
!new MatchEvent('matchEvent75')
!matchEvent75.eventType := #GOAL
!matchEvent75.time := 10
!new MatchEvent('matchEvent76')
!matchEvent76.eventType := #GOAL
!matchEvent76.time := 33
!new MatchEvent('matchEvent77')
!matchEvent77.eventType := #FOUL
!matchEvent77.time := 55
!insert (match27, matchEvent75) into MatchMatchEvent
!insert (match27, matchEvent76) into MatchMatchEvent
!insert (match27, matchEvent77) into MatchMatchEvent
!new MatchReport('matchReport27')
!matchReport27.duration := 90
!matchReport27.scoreVisitor := 1
!matchReport27.scoreLocal := 1
!insert (match27, matchReport27) into MatchMatchReport
!new MatchNote('matchNote17')
!matchNote17.note := 'A tightly contested match with strong defensive displays.'
!matchNote17.date := '2023-09-05'
!insert (match27, matchNote17) into MatchMatchNote
!new Match('match28')
!match28.date := '2023-09-12'
!match28.homeAway := false
!insert (teamAV, match28) into LocalMatch
!insert (teamAW, match28) into VisitorMatch
!insert (competition21, match28) into CompetitionMatch
!new MatchEvent('matchEvent78')
!matchEvent78.eventType := #GOAL
!matchEvent78.time := 48
!new MatchEvent('matchEvent79')
!matchEvent79.eventType := #FOUL
!matchEvent79.time := 60
!new MatchEvent('matchEvent80')
!matchEvent80.eventType := #GOAL
!matchEvent80.time := 77
!insert (match28, matchEvent78) into MatchMatchEvent
!insert (match28, matchEvent79) into MatchMatchEvent
!insert (match28, matchEvent80) into MatchMatchEvent
!new MatchReport('matchReport28')
!matchReport28.duration := 90
!matchReport28.scoreVisitor := 1
!matchReport28.scoreLocal := 2
!insert (match28, matchReport28) into MatchMatchReport
!new MatchNote('matchNote18')
!matchNote18.note := 'Coral Predators won their first championship title.'
!matchNote18.date := '2023-09-12'
!insert (match28, matchNote18) into MatchMatchNote
!new PlayerNotes('playerNote23')
!playerNote23.note := 'Key player in defensive line.'
!playerNote23.date := '2023-06-15'
!insert (player54, playerNote23) into PlayerPlayerNotes
!new PlayerNotes('playerNote24')
!playerNote24.note := 'Essential in midfield coordination.'
!playerNote24.date := '2023-08-01'
!insert (player55, playerNote24) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer49')
!matchPlayer49.booked := true
!matchPlayer49.goals := 0
!matchPlayer49.rating := 8
!new MatchPlayer('matchPlayer50')
!matchPlayer50.booked := false
!matchPlayer50.goals := 1
!matchPlayer50.rating := 9
!insert (player54, matchPlayer49) into PlayerMatch
!insert (player55, matchPlayer50) into PlayerMatch
!insert (match27, matchPlayer49) into MatchMatchPlayer
!insert (match28, matchPlayer50) into MatchMatchPlayer
!new MatchPlayerPosition('mpp49')
!mpp49.positionName := #DEFENDER
!mpp49.number := 5
!new MatchPlayerPosition('mpp50')
!mpp50.positionName := #MIDFIELDER
!mpp50.number := 10
!insert (matchPlayer49, mpp49) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer50, mpp50) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective41')
!trainingObjective41.areaToImprove := 'Enhance Match Stamina'
!trainingObjective41.startDate := '2023-07-01'
!trainingObjective41.endDate := '2023-08-01'
!trainingObjective41.success := true
!insert (trainingObjective41, player55) into TrainingObjectivePlayer
!new TrainingObjective('trainingObjective42')
!trainingObjective42.areaToImprove := 'Defensive Coordination'
!trainingObjective42.startDate := '2023-07-01'
!trainingObjective42.endDate := '2023-08-01'
!trainingObjective42.success := true
!insert (trainingObjective42, player54) into TrainingObjectivePlayer model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Instance: Boundary Case
### Clubs
- **Club Name:** Sunshine Sharks
- **Home Ground:** Coral Reef Stadium
- **Chairman:** Miguel Santiago
- **Club Name:** Thunder Wolves
- **Home Ground:** Storm Valley Arena
- **Chairman:** Ingrid Svensson
### Teams
- **Team Name:** Coral Predators (Belongs to Sunshine Sharks)
- **Team Name:** Lightning Strikers (Belongs to Thunder Wolves)
### Training Sessions
- **Training Session Date:** 2023-08-30
- **Location:** Ocean Front Park
- **Purpose:** Tactics for Wet Weather Play
- **Training Notes:**
- **Note:** Practiced rapid ball movement on wet surfaces.
- **Date:** 2023-08-30
- **Training Failed To Attend:**
- **Reason:** Injury recovery
- **Player Who Failed to Attend:** Omar Hassan
### Competitions
- **Competition Name:** Pacific Championship Cup
- **Type:** Tournament
- **Included Matches:** 4 matches (Spanning a quarter-final to final structure)
### Match #1 Details (Quarterfinal)
- **Match Date:** 2023-09-05
- **Home Away:** True
- **Local Team:** Lightning Strikers
- **Visitor Team:** Coral Predators
### Match #1 Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 10
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 33
- **MatchEvent:** FOUL
- **EventType:** FOUL
- **Time:** 55
### Match #1 Report
- **Duration:** 90
- **Score Visitor:** 1
- **Score Local:** 1
### Match #1 Notes
- **Match Note:** A tightly contested match with strong defensive displays.
- **Date:** 2023-09-05
### Match #2 Details (Final)
- **Match Date:** 2023-09-12
- **Home Away:** False (Played at a neutral venue)
- **Local Team:** Coral Predators
- **Visitor Team:** Lightning Strikers
### Match #2 Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 48
- **MatchEvent:** FOUL
- **EventType:** FOUL
- **Time:** 60
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 77
### Match #2 Report
- **Duration:** 90
- **Score Visitor:** 1
- **Score Local:** 2
### Match #2 Notes
- **Match Note:** Coral Predators won their first championship title.
- **Date:** 2023-09-12
### Players
- **Player Name:** Liam Jackson
- **Age:** 29
- **Best Foot:** RIGHT
- **Phone Number:** +61400123456
- **Positions Played:**
- **Player Position:** CENTRE_BACK
- **Player Notes:**
- **Note:** Key player in defensive line.
- **Date:** 2023-06-15
- **Participated Matches:** 4 matches
- **Player Name:** Sofia Oliveira
- **Age:** 24
- **Best Foot:** LEFT
- **Phone Number:** +351912345678
- **Positions Played:**
- **Player Position:** MIDFIELDER
- **Player Position:** ATTACKING_MIDFIELDER (Boundary case with two positions)
- **Player Notes:**
- **Note:** Essential in midfield coordination.
- **Date:** 2023-08-01
- **Participated Matches:** 4 matches
### Match Player Statistics
- **Player (Match Player):** Liam Jackson
- **Booked:** True
- **Goals:** 0
- **Rating:** 8
- **Player (Match Player):** Sofia Oliveira
- **Booked:** False
- **Goals:** 1 (Key scorer in the final)
- **Rating:** 9
### MatchPlayerPosition
- **Position Name:** CENTRE_BACK
- **Jersey Number:** 5
- **Position Name:** MIDFIELDER
- **Jersey Number:** 10
### Training Objectives
- **Objective:** Enhance Match Stamina
- **Start Date:** 2023-07-01
- **End Date:** 2023-08-01
- **Success:** Yes
- **Assigned Player:** Sofia Oliveira
This instance showcases a scenario featuring a complete tournament structure, indicating journey progression from quarter-finals to finals. It encompasses diverse weather implications on gameplay, strategic training targeting environmental conditions, and exhibits variably managed player positions and goals. Each aspect underscores different paradigms, such as injury management during trainings, goal-linked match reports, and staged player involvement reflecting realistic seasonal performance oscillations. The last output is partially incorrect:
temp.soil> !new Position('position111')
temp.soil> !position111.positionName := #CENTRE_BACK
<input>:1:0: generation of expression `#CENTRE_BACK' failed, with following error:
<input>:1:29: Undefined enumeration literal `CENTRE_BACK'.
temp.soil> !new Position('position112')
temp.soil> !position112.positionName := #ATTACKING_MIDFIELDER
<input>:1:0: generation of expression `#ATTACKING_MIDFIELDER' failed, with following error:
<input>:1:29: Undefined enumeration literal `ATTACKING_MIDFIELDER'.
temp.soil> !new MatchPlayerPosition('position113')
temp.soil> !position113.positionName := #CENTRE_BACK
<input>:1:0: generation of expression `#CENTRE_BACK' failed, with following error:
<input>:1:29: Undefined enumeration literal `CENTRE_BACK'.
temp.soil>
temp.soil> !new MatchPlayerPosition('position100')
Error: An object with name `position100' already exists.
temp.soil> !position100.positionName := #MIDFIELDER
temp.soil> !position100.number := 10
<input>:1:0: Class `Position' does not have an attribute `number'.
temp.soil> !insert (matchPlayer49, position113) into MatchPlayerMatchPlayerPosition
temp.soil> !insert (matchPlayer50, position100) into MatchPlayerMatchPlayerPosition
<input>:1:0: Participant 2 of association `MatchPlayerMatchPlayerPosition' must be of type `MatchPlayerPosition', but `position100' is of type `Position'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player54' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamPlayer':
Object `teamAW' of class `Team' is connected to 0 objects of class `Player'
at association end `player' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAW' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TeamPlayer':
Object `player54' of class `Player' is connected to 2 objects of class `Team'
at association end `team' but the multiplicity is specified as `1'.
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAV')
!clubAV.name := 'Sunshine Sharks'
!clubAV.homeGround := 'Coral Reef Stadium'
!clubAV.chairman := 'Miguel Santiago'
!new Club('clubAW')
!clubAW.name := 'Thunder Wolves'
!clubAW.homeGround := 'Storm Valley Arena'
!clubAW.chairman := 'Ingrid Svensson'
!new Team('teamAV')
!teamAV.name := 'Coral Predators'
!new Team('teamAW')
!teamAW.name := 'Lightning Strikers'
!insert (clubAV, teamAV) into ClubTeam
!insert (clubAW, teamAW) into ClubTeam
!new Player('player54')
!player54.name := 'Liam Jackson'
!player54.age := 29
!player54.bestFoot := #RIGHT
!player54.phoneNumber := '+61400123456'
!new Player('player55')
!player55.name := 'Sofia Oliveira'
!player55.age := 24
!player55.bestFoot := #LEFT
!player55.phoneNumber := '+351912345678'
!insert (teamAV, player54) into TeamPlayer
!insert (teamAV, player55) into TeamPlayer
!new Position('position111')
!position111.positionName := #DEFENDER
!new Position('position114')
!position114.positionName := #MIDFIELDER
!new Position('position115')
!position115.positionName := #ATTACKING_MIDFIELDER
!insert (player54, position111) into PlayerPositions
!insert (player55, position114) into PlayerPositions
!insert (player55, position115) into PlayerPositions
!new TrainingSession('trainingSession42')
!trainingSession42.date := '2023-08-30'
!trainingSession42.location := 'Ocean Front Park'
!trainingSession42.purpose := 'Tactics for Wet Weather Play'
!new TrainingSession('trainingSession43')
!trainingSession43.date := '2023-08-31'
!trainingSession43.location := 'Storm Valley Arena'
!trainingSession43.purpose := 'Defensive Structuring under Pressure'
!insert (teamAV, trainingSession42) into TeamTraining
!insert (teamAW, trainingSession43) into TeamTraining
!new TrainingNotes('trainingNote42')
!trainingNote42.note := 'Practiced rapid ball movement on wet surfaces.'
!trainingNote42.date := '2023-08-30'
!new TrainingNotes('trainingNote43')
!trainingNote43.note := 'Drills on maintaining line integrity under fast opponent incursions.'
!trainingNote43.date := '2023-08-31'
!insert (trainingSession42, trainingNote42) into TrainingTrainingNotes
!insert (trainingSession43, trainingNote43) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail17')
!trainingFail17.reason := 'Injury recovery'
!insert (trainingFail17, player54) into FailedPlayer
!insert (trainingSession42, trainingFail17) into TrainingFailded
!new Competition('competition21')
!competition21.name := 'Pacific Championship Cup'
!competition21.type := 'Tournament'
!new Match('match27')
!match27.date := '2023-09-05'
!match27.homeAway := true
!insert (teamAW, match27) into LocalMatch
!insert (teamAV, match27) into VisitorMatch
!insert (competition21, match27) into CompetitionMatch
!new MatchEvent('matchEvent75')
!matchEvent75.eventType := #GOAL
!matchEvent75.time := 10
!new MatchEvent('matchEvent76')
!matchEvent76.eventType := #GOAL
!matchEvent76.time := 33
!new MatchEvent('matchEvent77')
!matchEvent77.eventType := #FOUL
!matchEvent77.time := 55
!insert (match27, matchEvent75) into MatchMatchEvent
!insert (match27, matchEvent76) into MatchMatchEvent
!insert (match27, matchEvent77) into MatchMatchEvent
!new MatchReport('matchReport27')
!matchReport27.duration := 90
!matchReport27.scoreVisitor := 1
!matchReport27.scoreLocal := 1
!insert (match27, matchReport27) into MatchMatchReport
!new MatchNote('matchNote17')
!matchNote17.note := 'A tightly contested match with strong defensive displays.'
!matchNote17.date := '2023-09-05'
!insert (match27, matchNote17) into MatchMatchNote
!new Match('match28')
!match28.date := '2023-09-12'
!match28.homeAway := false
!insert (teamAV, match28) into LocalMatch
!insert (teamAW, match28) into VisitorMatch
!insert (competition21, match28) into CompetitionMatch
!new MatchEvent('matchEvent78')
!matchEvent78.eventType := #GOAL
!matchEvent78.time := 48
!new MatchEvent('matchEvent79')
!matchEvent79.eventType := #FOUL
!matchEvent79.time := 60
!new MatchEvent('matchEvent80')
!matchEvent80.eventType := #GOAL
!matchEvent80.time := 77
!insert (match28, matchEvent78) into MatchMatchEvent
!insert (match28, matchEvent79) into MatchMatchEvent
!insert (match28, matchEvent80) into MatchMatchEvent
!new MatchReport('matchReport28')
!matchReport28.duration := 90
!matchReport28.scoreVisitor := 1
!matchReport28.scoreLocal := 2
!insert (match28, matchReport28) into MatchMatchReport
!new MatchNote('matchNote18')
!matchNote18.note := 'Coral Predators won their first championship title.'
!matchNote18.date := '2023-09-12'
!insert (match28, matchNote18) into MatchMatchNote
!new PlayerNotes('playerNote23')
!playerNote23.note := 'Key player in defensive line.'
!playerNote23.date := '2023-06-15'
!insert (player54, playerNote23) into PlayerPlayerNotes
!new PlayerNotes('playerNote24')
!playerNote24.note := 'Essential in midfield coordination.'
!playerNote24.date := '2023-08-01'
!insert (player55, playerNote24) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer49')
!matchPlayer49.booked := true
!matchPlayer49.goals := 0
!matchPlayer49.rating := 8
!new MatchPlayer('matchPlayer50')
!matchPlayer50.booked := false
!matchPlayer50.goals := 1
!matchPlayer50.rating := 9
!insert (player54, matchPlayer49) into PlayerMatch
!insert (player55, matchPlayer50) into PlayerMatch
!insert (match27, matchPlayer49) into MatchMatchPlayer
!insert (match28, matchPlayer50) into MatchMatchPlayer
!new MatchPlayerPosition('mpp49')
!mpp49.positionName := #DEFENDER
!mpp49.number := 5
!new MatchPlayerPosition('mpp50')
!mpp50.positionName := #MIDFIELDER
!mpp50.number := 10
!insert (matchPlayer49, mpp49) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer50, mpp50) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective41')
!trainingObjective41.areaToImprove := 'Enhance Match Stamina'
!trainingObjective41.startDate := '2023-07-01'
!trainingObjective41.endDate := '2023-08-01'
!trainingObjective41.success := true
!insert (trainingObjective41, player55) into TrainingObjectivePlayer
!new TrainingObjective('trainingObjective42')
!trainingObjective42.areaToImprove := 'Defensive Coordination'
!trainingObjective42.startDate := '2023-07-01'
!trainingObjective42.endDate := '2023-08-01'
!trainingObjective42.success := true
!insert (trainingObjective42, player54) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The model violates the `SumOfScoresEqualsGoals` constraint. `matchReport28` defines a total score of 3 (visitor: 1, local: 2), but `match28` only contains 2 `GOAL` events. Additionally, `position115` is assigned `#ATTACKING_MIDFIELDER`, which is not a defined literal in the `PlayerPosition` enum.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $1.09 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 1/154 |
| Multiplicities | 1/39 |
| Invariants | 1/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 95.8% |
| String Equals | 98.9% |
| String LV | 84.5% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.509 ± 0.096 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 100.0% |
| Attributes | 100.0% |
| Relationships | 100.0% |
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 35/∞ |
| Attributes | 80/80 |
| Relationships | 39/∞ |
Viewer
!new Club('clubAZ')
!clubAZ.name := 'Rio de Janeiro Royals'
!clubAZ.homeGround := 'Maracanã Stadium'
!clubAZ.chairman := 'Ricardo Souza'
!new Club('clubBA')
!clubBA.name := 'Milan Knights'
!clubBA.homeGround := 'San Siro'
!clubBA.chairman := 'Giulia Rossi'
!new Team('teamAZ')
!teamAZ.name := 'Rio Royals Senior Squad'
!new Team('teamBA')
!teamBA.name := 'Milan Knights Legends Team'
!insert (clubAZ, teamAZ) into ClubTeam
!insert (clubBA, teamBA) into ClubTeam
!new Player('player58')
!player58.name := 'Diego Ferreira'
!player58.age := 35
!player58.bestFoot := #LEFT
!player58.phoneNumber := '+5521122334455'
!new Player('player59')
!player59.name := 'Alessandro Conti'
!player59.age := 36
!player59.bestFoot := #RIGHT
!player59.phoneNumber := '+390224567890'
!new Player('player60')
!player60.name := 'Felipe Silva'
!player60.age := 34
!player60.bestFoot := #RIGHT
!player60.phoneNumber := '+5521987654321'
!insert (teamAZ, player58) into TeamPlayer
!insert (teamBA, player59) into TeamPlayer
!insert (teamAZ, player60) into TeamPlayer
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!new Position('position100')
!position100.positionName := #MIDFIELDER
!insert (player58, position109) into PlayerPositions
!insert (player59, position100) into PlayerPositions
!insert (player60, position106) into PlayerPositions
!new Competition('competition23')
!competition23.name := 'World Classics Cup'
!competition23.type := 'Exhibition Tournament'
!new Match('match30')
!match30.date := '10-10-2023'
!match30.homeAway := true
!insert (teamAZ, match30) into LocalMatch
!insert (teamBA, match30) into VisitorMatch
!insert (competition23, match30) into CompetitionMatch
!new MatchReport('matchReport30')
!matchReport30.duration := 90
!matchReport30.scoreVisitor := 2
!matchReport30.scoreLocal := 2
!insert (match30, matchReport30) into MatchMatchReport
!new MatchPlayer('matchPlayer53')
!matchPlayer53.booked := false
!matchPlayer53.goals := 2
!matchPlayer53.rating := 9
!new MatchPlayer('matchPlayer54')
!matchPlayer54.booked := true
!matchPlayer54.goals := 1
!matchPlayer54.rating := 8
!new MatchPlayer('matchPlayer55')
!matchPlayer55.booked := false
!matchPlayer55.goals := 0
!matchPlayer55.rating := 7
!insert (player58, matchPlayer53) into PlayerMatch
!insert (player59, matchPlayer54) into PlayerMatch
!insert (player60, matchPlayer55) into PlayerMatch
!insert (match30, matchPlayer53) into MatchMatchPlayer
!insert (match30, matchPlayer54) into MatchMatchPlayer
!insert (match30, matchPlayer55) into MatchMatchPlayer
!new MatchPlayerPosition('mpp53')
!mpp53.positionName := #FORWARD
!mpp53.number := 10
!new MatchPlayerPosition('mpp54')
!mpp54.positionName := #MIDFIELDER
!mpp54.number := 8
!new MatchPlayerPosition('mpp55')
!mpp55.positionName := #DEFENDER
!mpp55.number := 5
!insert (matchPlayer53, mpp53) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer54, mpp54) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer55, mpp55) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent85')
!matchEvent85.eventType := #GOAL
!matchEvent85.time := 19
!new MatchEvent('matchEvent86')
!matchEvent86.eventType := #GOAL
!matchEvent86.time := 85
!new MatchEvent('matchEvent87')
!matchEvent87.eventType := #GOAL
!matchEvent87.time := 42
!new MatchEvent('matchEvent88')
!matchEvent88.eventType := #FOUL
!matchEvent88.time := 67
!insert (match30, matchEvent85) into MatchMatchEvent
!insert (match30, matchEvent86) into MatchMatchEvent
!insert (match30, matchEvent87) into MatchMatchEvent
!insert (match30, matchEvent88) into MatchMatchEvent
!new TrainingSession('trainingSession45')
!trainingSession45.date := '05-10-2023'
!trainingSession45.location := 'Maracanã Practice Field'
!trainingSession45.purpose := 'Tactics and strategy for historic match scenarios.'
!new TrainingSession('trainingSession46')
!trainingSession46.date := '06-10-2023'
!trainingSession46.location := 'San Siro Training Grounds'
!trainingSession46.purpose := 'Defensive and Offensive Coordination'
!insert (teamAZ, trainingSession45) into TeamTraining
!insert (teamBA, trainingSession46) into TeamTraining
!new TrainingNotes('trainingNote45')
!trainingNote45.note := 'Players comprehended advanced formations used in historical rivalries.'
!trainingNote45.date := '05-10-2023'
!new TrainingNotes('trainingNote46')
!trainingNote46.note := 'Focused on synchronization between defense and attack.'
!trainingNote46.date := '06-10-2023'
!insert (trainingSession45, trainingNote45) into TrainingTrainingNotes
!insert (trainingSession46, trainingNote46) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective43')
!trainingObjective43.areaToImprove := 'Tactical Intelligence'
!trainingObjective43.startDate := '01-10-2023'
!trainingObjective43.endDate := '08-10-2023'
!trainingObjective43.success := true
!new TrainingObjective('trainingObjective44')
!trainingObjective44.areaToImprove := 'Defensive Strategy'
!trainingObjective44.startDate := '01-10-2023'
!trainingObjective44.endDate := '08-10-2023'
!trainingObjective44.success := true
!new TrainingObjective('trainingObjective45')
!trainingObjective45.areaToImprove := 'Offensive Strategy'
!trainingObjective45.startDate := '01-10-2023'
!trainingObjective45.endDate := '08-10-2023'
!trainingObjective45.success := true
!insert (trainingObjective43, player58) into TrainingObjectivePlayer
!insert (trainingObjective44, player59) into TrainingObjectivePlayer
!insert (trainingObjective45, player60) into TrainingObjectivePlayer
!new TrainingFailedToAttend('trainingFail19')
!trainingFail19.reason := 'Personal Commitments'
!insert (trainingFail19, player60) into FailedPlayer
!insert (trainingSession45, trainingFail19) into TrainingFailded model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Instance:
### Historic Football Rivalry Match
#### Clubs
- **Club: Rio de Janeiro Royals**
- `name`: Rio de Janeiro Royals
- `homeGround`: Maracanã Stadium
- `chairman`: Ricardo Souza
- **Club: Milan Knights**
- `name`: Milan Knights
- `homeGround`: San Siro
- `chairman`: Giulia Rossi
#### Teams
- **Team: Rio Royals Senior Squad**
- `name`: Rio Royals Senior Squad
- **Team: Milan Knights Legends Team**
- `name`: Milan Knights Legends Team
#### Players
- **Player: Diego Ferreira**
- `name`: Diego Ferreira
- `age`: 35
- `bestFoot`: Left
- `phoneNumber`: +5521122334455
- **Player: Alessandro Conti**
- `name`: Alessandro Conti
- `age`: 36
- `bestFoot`: Right
- `phoneNumber`: +390224567890
- **Player: Felipe Silva**
- `name`: Felipe Silva
- `age`: 34
- `bestFoot`: Right
- `phoneNumber`: +5521987654321
#### Positions
- **Position: Forward**
- `positionName`: Forward
- **Position: Defender**
- `positionName`: Defender
- **Position: Midfielder**
- `positionName`: Midfielder
#### Competitions
- **Competition: World Classics Cup**
- `name`: World Classics Cup
- `type`: Exhibition Tournament
#### Matches
- **Match: Royals vs Knights Legendary Duel**
- `date`: 10-10-2023
- `homeAway`: True
- **MatchReport: Royals vs Knights Duel Report**
- `duration`: 90
- `scoreVisitor`: 2
- `scoreLocal`: 2
#### MatchPlayers
- **MatchPlayer: Diego Ferreira in Royals vs Knights**
- `booked`: False
- `goals`: 2
- `rating`: 9
- **MatchPlayer: Alessandro Conti in Royals vs Knights**
- `booked`: True
- `goals`: 1
- `rating`: 8
- **MatchPlayer: Felipe Silva in Royals vs Knights**
- `booked`: False
- `goals`: 0
- `rating`: 7
#### MatchPlayerPositions
- **MatchPlayerPosition: Diego Ferreira as Forward**
- `positionName`: Forward
- `number`: 10
- **MatchPlayerPosition: Alessandro Conti as Midfielder**
- `positionName`: Midfielder
- `number`: 8
- **MatchPlayerPosition: Felipe Silva as Defender**
- `positionName`: Defender
- `number`: 5
#### MatchEvents
- **MatchEvent: Goal by Diego Ferreira**
- `eventType`: GOAL
- `time`: 19
- **MatchEvent: Goal by Diego Ferreira**
- `eventType`: GOAL
- `time`: 85
- **MatchEvent: Goal by Alessandro Conti**
- `eventType`: GOAL
- `time`: 42
- **MatchEvent: Yellow Card for Alessandro Conti**
- `eventType`: FOUL
- `time`: 67
#### TrainingSessions
- **TrainingSession: Classic Rivalry Preparation**
- `date`: 05-10-2023
- `location`: Maracanã Practice Field
- `purpose`: Tactics and strategy for historic match scenarios.
#### TrainingNotes
- **TrainingNote: Strategic Depth Analysis**
- `note`: Players comprehended advanced formations used in historical rivalries.
- `date`: 05-10-2023
#### TrainingObjectives
- **TrainingObjective: Revitalize Classic Play Styles**
- `areaToImprove`: Tactical Intelligence
- `startDate`: 01-10-2023
- `endDate`: 08-10-2023
- `success`: True
#### TrainingFailedToAttend
- **TrainingFailedToAttend: Non-attendance by Felipe Silva**
- `reason`: Personal Commitments
#### Relationships and Integrity Constraints Fulfillment
1. **Club and Team Association**:
- "Rio de Janeiro Royals" has "Rio Royals Senior Squad".
- "Milan Knights" has "Milan Knights Legends Team".
2. **Team and Players**:
- "Rio Royals Senior Squad" includes players "Diego Ferreira" and "Felipe Silva".
- "Milan Knights Legends Team" includes player "Alessandro Conti".
3. **Competition and Match**:
- The "World Classics Cup" includes the match "Royals vs Knights Legendary Duel".
4. **Match and Match Events**:
- Reflects the report with correct goal tally and player events.
5. **Training Sessions and Notes**:
- “Classic Rivalry Preparation” has corresponding notes about strategic depth.
6. **Training Objectives**:
- Successful revitalization of classic styles indicated by training outcomes.
7. **Structural Diversity**:
- This instance emphasizes a thematic, historic football rivalry element, featuring mature players utilizing experience and classic strategies, providing semantic richness distinct from previous instances. The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player59' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player60' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamBA' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `trainingObjective44' of class `TrainingObjective' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
checking invariants...
checking invariant (1) `Match::DifferentTeams': OK.
checking invariant (2) `Match::TeamsFromDifferentClubs': OK.
checking invariant (3) `MatchReport::PositiveScore': OK.
checking invariant (4) `MatchReport::SumOfScoresEqualsGoals': FAILED.
-> false : Boolean
checked 4 invariants in 0.001s, 1 failure.
Invariants
1. **DifferentTeams**: A match must not have the same team as both local and visitor.
2. **TeamsFromDifferentClubs**: Local and visitor teams must belong to different clubs.
3. **PositiveScore**: Both the visitor and local scores in a match report must be non-negative.
4. **SumOfScoresEqualsGoals**: The sum of visitor and local scores must equal the total number of goal events in the match.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAZ')
!clubAZ.name := 'Rio de Janeiro Royals'
!clubAZ.homeGround := 'Maracanã Stadium'
!clubAZ.chairman := 'Ricardo Souza'
!new Club('clubBA')
!clubBA.name := 'Milan Knights'
!clubBA.homeGround := 'San Siro'
!clubBA.chairman := 'Giulia Rossi'
!new Team('teamAZ')
!teamAZ.name := 'Rio Royals Senior Squad'
!new Team('teamBA')
!teamBA.name := 'Milan Knights Legends Team'
!insert (clubAZ, teamAZ) into ClubTeam
!insert (clubBA, teamBA) into ClubTeam
!new Player('player58')
!player58.name := 'Diego Ferreira'
!player58.age := 35
!player58.bestFoot := #LEFT
!player58.phoneNumber := '+5521122334455'
!new Player('player59')
!player59.name := 'Alessandro Conti'
!player59.age := 36
!player59.bestFoot := #RIGHT
!player59.phoneNumber := '+390224567890'
!new Player('player60')
!player60.name := 'Felipe Silva'
!player60.age := 34
!player60.bestFoot := #RIGHT
!player60.phoneNumber := '+5521987654321'
!insert (teamAZ, player58) into TeamPlayer
!insert (teamBA, player59) into TeamPlayer
!insert (teamAZ, player60) into TeamPlayer
!new Position('position109')
!position109.positionName := #FORWARD
!new Position('position106')
!position106.positionName := #DEFENDER
!new Position('position100')
!position100.positionName := #MIDFIELDER
!insert (player58, position109) into PlayerPositions
!insert (player59, position100) into PlayerPositions
!insert (player60, position106) into PlayerPositions
!new Competition('competition23')
!competition23.name := 'World Classics Cup'
!competition23.type := 'Exhibition Tournament'
!new Match('match30')
!match30.date := '10-10-2023'
!match30.homeAway := true
!insert (teamAZ, match30) into LocalMatch
!insert (teamBA, match30) into VisitorMatch
!insert (competition23, match30) into CompetitionMatch
!new MatchReport('matchReport30')
!matchReport30.duration := 90
!matchReport30.scoreVisitor := 2
!matchReport30.scoreLocal := 2
!insert (match30, matchReport30) into MatchMatchReport
!new MatchPlayer('matchPlayer53')
!matchPlayer53.booked := false
!matchPlayer53.goals := 2
!matchPlayer53.rating := 9
!new MatchPlayer('matchPlayer54')
!matchPlayer54.booked := true
!matchPlayer54.goals := 1
!matchPlayer54.rating := 8
!new MatchPlayer('matchPlayer55')
!matchPlayer55.booked := false
!matchPlayer55.goals := 0
!matchPlayer55.rating := 7
!insert (player58, matchPlayer53) into PlayerMatch
!insert (player59, matchPlayer54) into PlayerMatch
!insert (player60, matchPlayer55) into PlayerMatch
!insert (match30, matchPlayer53) into MatchMatchPlayer
!insert (match30, matchPlayer54) into MatchMatchPlayer
!insert (match30, matchPlayer55) into MatchMatchPlayer
!new MatchPlayerPosition('mpp53')
!mpp53.positionName := #FORWARD
!mpp53.number := 10
!new MatchPlayerPosition('mpp54')
!mpp54.positionName := #MIDFIELDER
!mpp54.number := 8
!new MatchPlayerPosition('mpp55')
!mpp55.positionName := #DEFENDER
!mpp55.number := 5
!insert (matchPlayer53, mpp53) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer54, mpp54) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer55, mpp55) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent85')
!matchEvent85.eventType := #GOAL
!matchEvent85.time := 19
!new MatchEvent('matchEvent86')
!matchEvent86.eventType := #GOAL
!matchEvent86.time := 85
!new MatchEvent('matchEvent87')
!matchEvent87.eventType := #GOAL
!matchEvent87.time := 42
!new MatchEvent('matchEvent88')
!matchEvent88.eventType := #FOUL
!matchEvent88.time := 67
!insert (match30, matchEvent85) into MatchMatchEvent
!insert (match30, matchEvent86) into MatchMatchEvent
!insert (match30, matchEvent87) into MatchMatchEvent
!insert (match30, matchEvent88) into MatchMatchEvent
!new TrainingSession('trainingSession45')
!trainingSession45.date := '05-10-2023'
!trainingSession45.location := 'Maracanã Practice Field'
!trainingSession45.purpose := 'Tactics and strategy for historic match scenarios.'
!new TrainingSession('trainingSession46')
!trainingSession46.date := '06-10-2023'
!trainingSession46.location := 'San Siro Training Grounds'
!trainingSession46.purpose := 'Defensive and Offensive Coordination'
!insert (teamAZ, trainingSession45) into TeamTraining
!insert (teamBA, trainingSession46) into TeamTraining
!new TrainingNotes('trainingNote45')
!trainingNote45.note := 'Players comprehended advanced formations used in historical rivalries.'
!trainingNote45.date := '05-10-2023'
!new TrainingNotes('trainingNote46')
!trainingNote46.note := 'Focused on synchronization between defense and attack.'
!trainingNote46.date := '06-10-2023'
!insert (trainingSession45, trainingNote45) into TrainingTrainingNotes
!insert (trainingSession46, trainingNote46) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective43')
!trainingObjective43.areaToImprove := 'Tactical Intelligence'
!trainingObjective43.startDate := '01-10-2023'
!trainingObjective43.endDate := '08-10-2023'
!trainingObjective43.success := true
!new TrainingObjective('trainingObjective44')
!trainingObjective44.areaToImprove := 'Defensive Strategy'
!trainingObjective44.startDate := '01-10-2023'
!trainingObjective44.endDate := '08-10-2023'
!trainingObjective44.success := true
!new TrainingObjective('trainingObjective45')
!trainingObjective45.areaToImprove := 'Offensive Strategy'
!trainingObjective45.startDate := '01-10-2023'
!trainingObjective45.endDate := '08-10-2023'
!trainingObjective45.success := true
!insert (trainingObjective43, player58) into TrainingObjectivePlayer
!insert (trainingObjective44, player59) into TrainingObjectivePlayer
!insert (trainingObjective45, player60) into TrainingObjectivePlayer
!new TrainingFailedToAttend('trainingFail19')
!trainingFail19.reason := 'Personal Commitments'
!insert (trainingFail19, player60) into FailedPlayer
!insert (trainingSession45, trainingFail19) into TrainingFailded
</object_model> LLM as a Judge
The match report `matchReport30` indicates a final score of 2-2 (for a total of 4 goals), but there are only 3 `MatchEvent` objects of type `GOAL` associated with the match (and the players cumulatively scored only 3 goals). This creates a direct contradiction in the match statistics.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.82 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/141 |
| Multiplicities | 0/34 |
| Invariants | 1/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 97.7% |
| String Equals | 98.8% |
| String LV | 85.1% |
| Shannon (Active) | 0.910 ± 0.077 |
| Shannon (All) | 0.574 ± 0.181 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 87.5% |
| Attributes | 89.2% |
| Relationships | 88.9% |
Uncovered Items 8
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 31/∞ |
| Attributes | 76/76 |
| Relationships | 34/∞ |
Viewer
!new Club('clubAJ')
!clubAJ.name := 'Polar Predators FC'
!clubAJ.homeGround := 'Iceberg Park Arena'
!clubAJ.chairman := 'Mr. Olaf Sigurdsson'
!new Club('clubAK')
!clubAK.name := 'Tundra Trekkers'
!clubAK.homeGround := 'Snowcap Grounds'
!clubAK.chairman := 'Ms. Annika Frost'
!new Team('teamAJ')
!teamAJ.name := 'Frostbite Fighters'
!new Team('teamAK')
!teamAK.name := 'Glacier Guardians'
!insert (clubAJ, teamAJ) into ClubTeam
!insert (clubAK, teamAK) into ClubTeam
!new Player('player40')
!player40.name := 'Blizzard Breeze'
!player40.age := 30
!player40.bestFoot := #RIGHT
!player40.phoneNumber := '+1123456789'
!new Player('player41')
!player41.name := 'Ice Shield'
!player41.age := 29
!player41.bestFoot := #LEFT
!player41.phoneNumber := '+9876541230'
!insert (teamAJ, player40) into TeamPlayer
!insert (teamAK, player41) into TeamPlayer
!new Position('position92')
!position92.positionName := #DEFENDER
!new Position('position93')
!position93.positionName := #MIDFIELDER
!new Position('position94')
!position94.positionName := #GOALKEEPER
!insert (player40, position92) into PlayerPositions
!insert (player40, position93) into PlayerPositions
!insert (player41, position94) into PlayerPositions
!new Competition('competition16')
!competition16.name := 'Arctic Cup Series'
!competition16.type := 'Tournament'
!new Match('match19')
!match19.date := '12/12/2023'
!match19.homeAway := false
!insert (teamAK, match19) into LocalMatch
!insert (teamAJ, match19) into VisitorMatch
!insert (competition16, match19) into CompetitionMatch
!new MatchReport('matchReport19')
!matchReport19.duration := 90
!matchReport19.scoreVisitor := 0
!matchReport19.scoreLocal := 0
!insert (match19, matchReport19) into MatchMatchReport
!new MatchEvent('matchEvent52')
!matchEvent52.eventType := #FOUL
!matchEvent52.time := 32
!new MatchEvent('matchEvent53')
!matchEvent53.eventType := #FOUL
!matchEvent53.time := 65
!new MatchEvent('matchEvent54')
!matchEvent54.eventType := #FOUL
!matchEvent54.time := 75
!insert (match19, matchEvent52) into MatchMatchEvent
!insert (match19, matchEvent53) into MatchMatchEvent
!insert (match19, matchEvent54) into MatchMatchEvent
!new MatchPlayer('matchPlayer35')
!matchPlayer35.booked := true
!matchPlayer35.goals := 0
!matchPlayer35.rating := 6
!new MatchPlayer('matchPlayer36')
!matchPlayer36.booked := false
!matchPlayer36.goals := 0
!matchPlayer36.rating := 8
!insert (player40, matchPlayer35) into PlayerMatch
!insert (player41, matchPlayer36) into PlayerMatch
!insert (match19, matchPlayer35) into MatchMatchPlayer
!insert (match19, matchPlayer36) into MatchMatchPlayer
!new MatchPlayerPosition('position95')
!position95.positionName := #DEFENDER
!position95.number := 5
!new MatchPlayerPosition('position96')
!position96.positionName := #GOALKEEPER
!position96.number := 1
!insert (matchPlayer35, position95) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer36, position96) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession31')
!trainingSession31.date := '10/12/2023'
!trainingSession31.location := 'Iceberg Park Arena'
!trainingSession31.purpose := 'Cold Weather Endurance and Team Coordination'
!insert (teamAJ, trainingSession31) into TeamTraining
!new TrainingSession('trainingSession32')
!trainingSession32.date := '09/12/2023'
!trainingSession32.location := 'Snowcap Grounds'
!trainingSession32.purpose := 'Goalkeeping Agility Improvement'
!insert (teamAK, trainingSession32) into TeamTraining
!new TrainingNotes('trainingNote31')
!trainingNote31.note := 'Improvement observed in players\' coordination while enduring freezing temperatures.'
!trainingNote31.date := '10/12/2023'
!new TrainingNotes('trainingNote32')
!trainingNote32.note := 'Enhanced agility and quick reflexes developed during the session.'
!trainingNote32.date := '09/12/2023'
!insert (trainingSession31, trainingNote31) into TrainingTrainingNotes
!insert (trainingSession32, trainingNote32) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail12')
!trainingFail12.reason := 'Frostbite recovery'
!insert (trainingFail12, player41) into FailedPlayer
!insert (trainingSession31, trainingFail12) into TrainingFailded
!new TrainingObjective('trainingObjective30')
!trainingObjective30.areaToImprove := 'Defensive Formations amid Cold Weather'
!trainingObjective30.startDate := '08/12/2023'
!trainingObjective30.endDate := '11/12/2023'
!trainingObjective30.success := true
!new TrainingObjective('trainingObjective31')
!trainingObjective31.areaToImprove := 'Goalkeeping in Cold Conditions'
!trainingObjective31.startDate := '08/12/2023'
!trainingObjective31.endDate := '11/12/2023'
!trainingObjective31.success := false
!insert (trainingObjective30, player40) into TrainingObjectivePlayer
!insert (trainingObjective31, player41) into TrainingObjectivePlayer
!new PlayerNotes('playerNote16')
!playerNote16.note := 'Challenges in maintaining focus under snow glare conditions.'
!playerNote16.date := '11/12/2023'
!insert (player40, playerNote16) into PlayerPlayerNotes
!new PlayerNotes('playerNote17')
!playerNote17.note := 'Exhibits exceptional reflexes against close-range shots.'
!playerNote17.date := '09/12/2023'
!insert (player41, playerNote17) into PlayerPlayerNotes model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
## Edge Instance: "Artic Snowfield Football Confrontation"
### Clubs
- **Polar Predators FC**
- Name: Polar Predators FC
- Home Ground: Iceberg Park Arena
- Chairman: Mr. Olaf Sigurdsson
- **Tundra Trekkers**
- Name: Tundra Trekkers
- Home Ground: Snowcap Grounds
- Chairman: Ms. Annika Frost
### Teams
- **Frostbite Fighters**
- Part of: Polar Predators FC
- **Glacier Guardians**
- Part of: Tundra Trekkers
### Competitions
- **Name**: Arctic Cup Series
- Type: Tournament
### Matches
- **Date**: 12/12/2023
- **HomeAway**: False (Glacier Guardians' home match at Snowcap Grounds)
- **Teams**: Glacier Guardians (local) vs. Frostbite Fighters (visitor)
- **Match Report**:
- Duration: 90 minutes
- Score Visitor: 0
- Score Local: 0
- Total Goals: 0
- **Match Events**:
- **FOUL**: Minute 32 - Frostbite Fighters
- **FOUL**: Minute 65 - Glacier Guardians
- **RED CARD**: Minute 75 - Player from Frostbite Fighters
- **Match Players**:
- **Frostbite Fighters**:
- Player: **Blizzard Breeze**, Goals: 0, Rating: 6, Booked: True (Red Card)
- Position: **Defender**, Jersey Number: 5
- **Glacier Guardians**:
- Player: **Ice Shield**, Goals: 0, Rating: 8, Booked: False
- Position: **Goalkeeper**, Jersey Number: 1
### Training Sessions
- **Session 1**
- Date: 10/12/2023
- Location: Iceberg Park Arena
- Purpose: Cold Weather Endurance and Team Coordination
- **Training Notes**:
- Note: "Improvement observed in players' coordination while enduring freezing temperatures."
- Date: 10/12/2023
- **Failed To Attend**:
- Player: Ice Shield - Reason: "Frostbite recovery"
- **Training Objectives**:
- Area To Improve: Defensive Formations amid Cold Weather
- Start Date: 08/12/2023
- End Date: 11/12/2023
- Success: True
- Assigned Players:
- **Blizzard Breeze** from Frostbite Fighters
### Players
- **Blizzard Breeze**
- Age: 30
- Best Foot: Right
- Phone Number: +1123456789
- **Positions**: Defender, Midfielder
- **Player Notes**:
- Note: "Challenges in maintaining focus under snow glare conditions."
- Date: 11/12/2023
- **Ice Shield**
- Age: 29
- Best Foot: Left
- Phone Number: +9876541230
- **Positions**: Goalkeeper
- **Player Notes**:
- Note: "Exhibits exceptional reflexes against close-range shots."
- Date: 09/12/2023
### Unusual Aspects:
- The match is held in extreme cold conditions on a snowfield, with players braving harsh weather conditions that add additional layers of difficulty.
- The match ends in a rare 0-0 draw, highlighting the defensive tactics and endurance required to maintain performance in freezing temperatures.
- Training focused on cold weather endurance showcases an unconventional environment, diverging starkly from typical football settings and highlighting unique adaptability requirements. The last output is partially incorrect:
temp.soil> !new TrainingNotes('trainingNote31')
temp.soil> !trainingNote31.note := "Improvement observed in players' coordination while enduring freezing temperatures."
<input>:line 1:14 mismatched input '.' expecting :=
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player41' of class `Player' is connected to 0 objects of class `TrainingObjective'
at association end `trainingObjective' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAK' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAJ')
!clubAJ.name := 'Polar Predators FC'
!clubAJ.homeGround := 'Iceberg Park Arena'
!clubAJ.chairman := 'Mr. Olaf Sigurdsson'
!new Club('clubAK')
!clubAK.name := 'Tundra Trekkers'
!clubAK.homeGround := 'Snowcap Grounds'
!clubAK.chairman := 'Ms. Annika Frost'
!new Team('teamAJ')
!teamAJ.name := 'Frostbite Fighters'
!new Team('teamAK')
!teamAK.name := 'Glacier Guardians'
!insert (clubAJ, teamAJ) into ClubTeam
!insert (clubAK, teamAK) into ClubTeam
!new Player('player40')
!player40.name := 'Blizzard Breeze'
!player40.age := 30
!player40.bestFoot := #RIGHT
!player40.phoneNumber := '+1123456789'
!new Player('player41')
!player41.name := 'Ice Shield'
!player41.age := 29
!player41.bestFoot := #LEFT
!player41.phoneNumber := '+9876541230'
!insert (teamAJ, player40) into TeamPlayer
!insert (teamAK, player41) into TeamPlayer
!new Position('position92')
!position92.positionName := #DEFENDER
!new Position('position93')
!position93.positionName := #MIDFIELDER
!new Position('position94')
!position94.positionName := #GOALKEEPER
!insert (player40, position92) into PlayerPositions
!insert (player40, position93) into PlayerPositions
!insert (player41, position94) into PlayerPositions
!new Competition('competition16')
!competition16.name := 'Arctic Cup Series'
!competition16.type := 'Tournament'
!new Match('match19')
!match19.date := '12/12/2023'
!match19.homeAway := false
!insert (teamAK, match19) into LocalMatch
!insert (teamAJ, match19) into VisitorMatch
!insert (competition16, match19) into CompetitionMatch
!new MatchReport('matchReport19')
!matchReport19.duration := 90
!matchReport19.scoreVisitor := 0
!matchReport19.scoreLocal := 0
!insert (match19, matchReport19) into MatchMatchReport
!new MatchEvent('matchEvent52')
!matchEvent52.eventType := #FOUL
!matchEvent52.time := 32
!new MatchEvent('matchEvent53')
!matchEvent53.eventType := #FOUL
!matchEvent53.time := 65
!new MatchEvent('matchEvent54')
!matchEvent54.eventType := #FOUL
!matchEvent54.time := 75
!insert (match19, matchEvent52) into MatchMatchEvent
!insert (match19, matchEvent53) into MatchMatchEvent
!insert (match19, matchEvent54) into MatchMatchEvent
!new MatchPlayer('matchPlayer35')
!matchPlayer35.booked := true
!matchPlayer35.goals := 0
!matchPlayer35.rating := 6
!new MatchPlayer('matchPlayer36')
!matchPlayer36.booked := false
!matchPlayer36.goals := 0
!matchPlayer36.rating := 8
!insert (player40, matchPlayer35) into PlayerMatch
!insert (player41, matchPlayer36) into PlayerMatch
!insert (match19, matchPlayer35) into MatchMatchPlayer
!insert (match19, matchPlayer36) into MatchMatchPlayer
!new MatchPlayerPosition('position95')
!position95.positionName := #DEFENDER
!position95.number := 5
!new MatchPlayerPosition('position96')
!position96.positionName := #GOALKEEPER
!position96.number := 1
!insert (matchPlayer35, position95) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer36, position96) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession31')
!trainingSession31.date := '10/12/2023'
!trainingSession31.location := 'Iceberg Park Arena'
!trainingSession31.purpose := 'Cold Weather Endurance and Team Coordination'
!insert (teamAJ, trainingSession31) into TeamTraining
!new TrainingSession('trainingSession32')
!trainingSession32.date := '09/12/2023'
!trainingSession32.location := 'Snowcap Grounds'
!trainingSession32.purpose := 'Goalkeeping Agility Improvement'
!insert (teamAK, trainingSession32) into TeamTraining
!new TrainingNotes('trainingNote31')
!trainingNote31.note := 'Improvement observed in players\' coordination while enduring freezing temperatures.'
!trainingNote31.date := '10/12/2023'
!new TrainingNotes('trainingNote32')
!trainingNote32.note := 'Enhanced agility and quick reflexes developed during the session.'
!trainingNote32.date := '09/12/2023'
!insert (trainingSession31, trainingNote31) into TrainingTrainingNotes
!insert (trainingSession32, trainingNote32) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail12')
!trainingFail12.reason := 'Frostbite recovery'
!insert (trainingFail12, player41) into FailedPlayer
!insert (trainingSession31, trainingFail12) into TrainingFailded
!new TrainingObjective('trainingObjective30')
!trainingObjective30.areaToImprove := 'Defensive Formations amid Cold Weather'
!trainingObjective30.startDate := '08/12/2023'
!trainingObjective30.endDate := '11/12/2023'
!trainingObjective30.success := true
!new TrainingObjective('trainingObjective31')
!trainingObjective31.areaToImprove := 'Goalkeeping in Cold Conditions'
!trainingObjective31.startDate := '08/12/2023'
!trainingObjective31.endDate := '11/12/2023'
!trainingObjective31.success := false
!insert (trainingObjective30, player40) into TrainingObjectivePlayer
!insert (trainingObjective31, player41) into TrainingObjectivePlayer
!new PlayerNotes('playerNote16')
!playerNote16.note := 'Challenges in maintaining focus under snow glare conditions.'
!playerNote16.date := '11/12/2023'
!insert (player40, playerNote16) into PlayerPlayerNotes
!new PlayerNotes('playerNote17')
!playerNote17.note := 'Exhibits exceptional reflexes against close-range shots.'
!playerNote17.date := '09/12/2023'
!insert (player41, playerNote17) into PlayerPlayerNotes
</object_model> LLM as a Judge
The object 'player41' belongs to 'teamAK' but is recorded (via 'trainingFail12') as failing to attend 'trainingSession31', which is a training session organized by a completely different team ('teamAJ'). A player cannot be expected to attend (and thus fail to attend) another team's private training session.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.73 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 0/123 |
| Multiplicities | 0/30 |
| Invariants | 0/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 93.4% |
| String Equals | 98.4% |
| String LV | 84.9% |
| Shannon (Active) | 0.667 ± 0.471 |
| Shannon (All) | 0.474 ± 0.342 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 93.8% |
| Attributes | 94.6% |
| Relationships | 94.4% |
Uncovered Items 4
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 28/∞ |
| Attributes | 65/65 |
| Relationships | 30/∞ |
Viewer
!new Club('clubAX')
!clubAX.name := 'Desert Falcons FC'
!clubAX.homeGround := 'Falcon Arena, Riyadh'
!clubAX.chairman := 'Faisal Al-Harbi'
!new Club('clubAY')
!clubAY.name := 'Oasis Knights FC'
!clubAY.homeGround := "Knight's Coliseum, Dubai"
!clubAY.chairman := 'Ayesha Khalid'
!new Team('teamAX')
!teamAX.name := 'Falcons Rising'
!new Team('teamAY')
!teamAY.name := "Knight's Apprentices"
!insert (clubAX, teamAX) into ClubTeam
!insert (clubAY, teamAY) into ClubTeam
!new Player('player56')
!player56.name := 'Ahmad Jaber'
!player56.age := 26
!player56.bestFoot := #RIGHT
!player56.phoneNumber := '+966 505 123 456'
!new Player('player57')
!player57.name := 'Layla Safar'
!player57.age := 24
!player57.bestFoot := #LEFT
!player57.phoneNumber := '+971 555 678 910'
!insert (teamAX, player56) into TeamPlayer
!insert (teamAY, player57) into TeamPlayer
!new Position('position116')
!position116.positionName := #FORWARD
!new Position('position100')
!position100.positionName := #MIDFIELDER
!new Position('position106')
!position106.positionName := #DEFENDER
!insert (player56, position116) into PlayerPositions
!insert (player56, position100) into PlayerPositions
!insert (player57, position100) into PlayerPositions
!insert (player57, position106) into PlayerPositions
!new Competition('competition22')
!competition22.name := 'Golden Desert Youth Cup'
!competition22.type := 'Tournament'
!new Match('match29')
!match29.date := '30th March 2024'
!match29.homeAway := true
!insert (teamAX, match29) into LocalMatch
!insert (teamAY, match29) into VisitorMatch
!insert (competition22, match29) into CompetitionMatch
!new MatchReport('matchReport29')
!matchReport29.duration := 90
!matchReport29.scoreVisitor := 2
!matchReport29.scoreLocal := 2
!insert (match29, matchReport29) into MatchMatchReport
!new MatchEvent('matchEvent82')
!matchEvent82.eventType := #GOAL
!matchEvent82.time := 22
!new MatchEvent('matchEvent83')
!matchEvent83.eventType := #FOUL
!matchEvent83.time := 45
!new MatchEvent('matchEvent84')
!matchEvent84.eventType := #GOAL
!matchEvent84.time := 78
!insert (match29, matchEvent82) into MatchMatchEvent
!insert (match29, matchEvent83) into MatchMatchEvent
!insert (match29, matchEvent84) into MatchMatchEvent
!new MatchPlayer('matchPlayer51')
!matchPlayer51.booked := false
!matchPlayer51.goals := 1
!matchPlayer51.rating := 8
!new MatchPlayer('matchPlayer52')
!matchPlayer52.booked := true
!matchPlayer52.goals := 1
!matchPlayer52.rating := 7
!insert (player56, matchPlayer51) into PlayerMatch
!insert (player57, matchPlayer52) into PlayerMatch
!insert (match29, matchPlayer51) into MatchMatchPlayer
!insert (match29, matchPlayer52) into MatchMatchPlayer
!new MatchPlayerPosition('mpp51')
!mpp51.positionName := #FORWARD
!mpp51.number := 9
!new MatchPlayerPosition('mpp52')
!mpp52.positionName := #DEFENDER
!mpp52.number := 4
!insert (matchPlayer51, mpp51) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer52, mpp52) into MatchPlayerMatchPlayerPosition
!new MatchNote('matchNote19')
!matchNote19.note := 'The match saw resilient performances despite errors in venue designation during the festive Neom Spring Festival.'
!matchNote19.date := '31st March 2024'
!insert (match29, matchNote19) into MatchMatchNote
!new TrainingSession('trainingSession44')
!trainingSession44.date := '1st April 2024'
!trainingSession44.location := 'Falcon Arena Training Grounds'
!trainingSession44.purpose := 'Drills focused on resilience and adaptation to unorthodox competition circumstances.'
!insert (teamAX, trainingSession44) into TeamTraining
!new TrainingFailedToAttend('trainingFail18')
!trainingFail18.reason := 'Celebratory festivities caused decreased attendance rates due to public holiday observances.'
!insert (trainingFail18, player57) into FailedPlayer
!insert (trainingSession44, trainingFail18) into TrainingFailded
!new TrainingNotes('trainingNote44')
!trainingNote44.note := 'Attendance impacted by festival commitments, causing a shift in planned session objectives to incorporate informal skill-building.'
!trainingNote44.date := '2nd April 2024'
!insert (trainingSession44, trainingNote44) into TrainingTrainingNotes model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
### Instance Description:
In the bustling football league of the Middle East, a fascinating inter-club match highlights the unique interplay between cultural sporting events and the challenges posed by rigid systemic configurations. This instance addresses complications due to the shifting of traditional player roles and competition participation errors.
**Clubs:**
1. **Club A**
- `name`: Desert Falcons FC
- `homeGround`: Falcon Arena, Riyadh
- `chairman`: Faisal Al-Harbi
2. **Club B**
- `name`: Oasis Knights FC
- `homeGround`: Knight's Coliseum, Dubai
- `chairman`: Ayesha Khalid
**Teams:**
- **Team A (Belonging to Desert Falcons FC)**
- `name`: Falcons Rising
- **Team B (Belonging to Oasis Knights FC)**
- `name`: Knight's Apprentices
**Players:**
1. **Player 1** (Belonging to Falcons Rising)
- `name`: Ahmad Jaber
- `age`: 26
- `bestFoot`: RIGHT
- `phoneNumber`: +966 505 123 456
- Positions:
- Forward
- Midfielder
2. **Player 2** (Belonging to Knight's Apprentices)
- `name`: Layla Safar
- `age`: 24
- `bestFoot`: LEFT
- `phoneNumber`: +971 555 678 910
- Positions:
- Midfielder
- Defender
**Competition:**
- **Golden Desert Cup**
- `name`: Golden Desert Youth Cup
- `type`: Tournament
- Note: Both teams entered the Golden Desert Cup, a junior tournament, due to administrative reasons, mislining with their senior roster status.
**Match:**
- **Date**: 30th March 2024
- **homeAway**: TRUE (Home advantage misattributed equally to both, introducing competitive confusion)
- Note: Competition records fail to correctly discriminate home field advantage amidst local celebrations.
**MatchReport:**
- `duration`: 90 minutes
- `scoreVisitor`: 2
- `scoreLocal`: 2
**MatchPlayer:**
- **Player 1 Performance**
- `booked`: FALSE
- `goals`: 1
- `rating`: 8
- **Player 2 Performance**
- `booked`: TRUE
- `goals`: 1
- `rating`: 7
**MatchEvent:**
1. **1st Event**
- `eventType`: GOAL
- `time`: 22
2. **2nd Event**
- `eventType`: FOUL
- `time`: 45
3. **3rd Event**
- `eventType`: GOAL
- `time`: 78
**MatchNote:**
- `note`: The match saw resilient performances despite errors in venue designation during the festive Neom Spring Festival.
- `date`: 31st March 2024
**TrainingSession:**
- **Date**: 1st April 2024
- **Location**: Falcon Arena Training Grounds
- **Purpose**: Drills focused on resilience and adaptation to unorthodox competition circumstances.
**TrainingFailedToAttend:**
- **Reason**: Celebratory festivities caused decreased attendance rates due to public holiday observances.
**TrainingNotes:**
- **note**: Attendance impacted by festival commitments, causing a shift in planned session objectives to incorporate informal skill-building.
- **date**: 2nd April 2024
### Constraint Violations Highlighted:
1. **Competition Mistrial**: The entry of senior teams into a youth-exclusive cup underlining the mistaken categorization due to clerical oversights.
2. **Role Misalignment in Home Advantage**: Both teams recorded as having home advantages, conflicting logistic assignment and emphasizing flexibility need.
This instance cleverly weaves cultural contexts, showcasing how traditional celebrations and classification errors can compound logistical challenges in dynamic football models, reinforcing the importance of adaptable and culturally aware systemic frameworks. The last output is partially incorrect:
temp.soil> !clubAY.name := 'Oasis Knights FC'
temp.soil> !clubAY.homeGround := "Knight's Coliseum, Dubai"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !new Team('teamAY')
temp.soil> !teamAY.name := "Knight's Apprentices"
<input>:line 1:6 mismatched input '.' expecting :=
Please provide the complete output corrected The last output is partially incorrect:
temp.soil> !clubAY.name := 'Oasis Knights FC'
temp.soil> !clubAY.homeGround := "Knight's Coliseum, Dubai"
<input>:line 1:6 mismatched input '.' expecting :=
temp.soil> !new Team('teamAY')
temp.soil> !teamAY.name := "Knight's Apprentices"
<input>:line 1:6 mismatched input '.' expecting :=
Please provide the complete output corrected <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('clubAX')
!clubAX.name := 'Desert Falcons FC'
!clubAX.homeGround := 'Falcon Arena, Riyadh'
!clubAX.chairman := 'Faisal Al-Harbi'
!new Club('clubAY')
!clubAY.name := 'Oasis Knights FC'
!clubAY.homeGround := "Knight's Coliseum, Dubai"
!clubAY.chairman := 'Ayesha Khalid'
!new Team('teamAX')
!teamAX.name := 'Falcons Rising'
!new Team('teamAY')
!teamAY.name := "Knight's Apprentices"
!insert (clubAX, teamAX) into ClubTeam
!insert (clubAY, teamAY) into ClubTeam
!new Player('player56')
!player56.name := 'Ahmad Jaber'
!player56.age := 26
!player56.bestFoot := #RIGHT
!player56.phoneNumber := '+966 505 123 456'
!new Player('player57')
!player57.name := 'Layla Safar'
!player57.age := 24
!player57.bestFoot := #LEFT
!player57.phoneNumber := '+971 555 678 910'
!insert (teamAX, player56) into TeamPlayer
!insert (teamAY, player57) into TeamPlayer
!new Position('position116')
!position116.positionName := #FORWARD
!new Position('position100')
!position100.positionName := #MIDFIELDER
!new Position('position106')
!position106.positionName := #DEFENDER
!insert (player56, position116) into PlayerPositions
!insert (player56, position100) into PlayerPositions
!insert (player57, position100) into PlayerPositions
!insert (player57, position106) into PlayerPositions
!new Competition('competition22')
!competition22.name := 'Golden Desert Youth Cup'
!competition22.type := 'Tournament'
!new Match('match29')
!match29.date := '30th March 2024'
!match29.homeAway := true
!insert (teamAX, match29) into LocalMatch
!insert (teamAY, match29) into VisitorMatch
!insert (competition22, match29) into CompetitionMatch
!new MatchReport('matchReport29')
!matchReport29.duration := 90
!matchReport29.scoreVisitor := 2
!matchReport29.scoreLocal := 2
!insert (match29, matchReport29) into MatchMatchReport
!new MatchEvent('matchEvent82')
!matchEvent82.eventType := #GOAL
!matchEvent82.time := 22
!new MatchEvent('matchEvent83')
!matchEvent83.eventType := #FOUL
!matchEvent83.time := 45
!new MatchEvent('matchEvent84')
!matchEvent84.eventType := #GOAL
!matchEvent84.time := 78
!insert (match29, matchEvent82) into MatchMatchEvent
!insert (match29, matchEvent83) into MatchMatchEvent
!insert (match29, matchEvent84) into MatchMatchEvent
!new MatchPlayer('matchPlayer51')
!matchPlayer51.booked := false
!matchPlayer51.goals := 1
!matchPlayer51.rating := 8
!new MatchPlayer('matchPlayer52')
!matchPlayer52.booked := true
!matchPlayer52.goals := 1
!matchPlayer52.rating := 7
!insert (player56, matchPlayer51) into PlayerMatch
!insert (player57, matchPlayer52) into PlayerMatch
!insert (match29, matchPlayer51) into MatchMatchPlayer
!insert (match29, matchPlayer52) into MatchMatchPlayer
!new MatchPlayerPosition('mpp51')
!mpp51.positionName := #FORWARD
!mpp51.number := 9
!new MatchPlayerPosition('mpp52')
!mpp52.positionName := #DEFENDER
!mpp52.number := 4
!insert (matchPlayer51, mpp51) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer52, mpp52) into MatchPlayerMatchPlayerPosition
!new MatchNote('matchNote19')
!matchNote19.note := 'The match saw resilient performances despite errors in venue designation during the festive Neom Spring Festival.'
!matchNote19.date := '31st March 2024'
!insert (match29, matchNote19) into MatchMatchNote
!new TrainingSession('trainingSession44')
!trainingSession44.date := '1st April 2024'
!trainingSession44.location := 'Falcon Arena Training Grounds'
!trainingSession44.purpose := 'Drills focused on resilience and adaptation to unorthodox competition circumstances.'
!insert (teamAX, trainingSession44) into TeamTraining
!new TrainingFailedToAttend('trainingFail18')
!trainingFail18.reason := 'Celebratory festivities caused decreased attendance rates due to public holiday observances.'
!insert (trainingFail18, player57) into FailedPlayer
!insert (trainingSession44, trainingFail18) into TrainingFailded
!new TrainingNotes('trainingNote44')
!trainingNote44.note := 'Attendance impacted by festival commitments, causing a shift in planned session objectives to incorporate informal skill-building.'
!trainingNote44.date := '2nd April 2024'
!insert (trainingSession44, trainingNote44) into TrainingTrainingNotes
</object_model> LLM as a Judge
There are two major logical contradictions. First, the match report 'matchReport29' states a final score of 2-2 (4 goals total), but there are only 2 'GOAL' events recorded for the match. Second, 'player57' belongs to 'teamAY' but is recorded as failing to attend 'trainingSession44', which is a training session for the opposing team, 'teamAX'.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.80 |
Validation
Validation Measures the correctness of the instantiation using the USE check function. - Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
- Syntax = 1 - (Total Number of syntax errors [use check] / Total Number of lines [instance])
- Multiplicities = 1 - (Total Number of multiplicities errors [use check] / Total Number of relationships ([instance] !insert))
- Invariants = 1 - (Total Number of invariants errors [use check] / Total Number of invariants ([model] constraints))
| Syntax | 1/99 |
| Multiplicities | 4/26 |
| Invariants | 1/4 |
Diversity
Diversity Measures the variability of the generated instances. Attributes (NumericEquals, StringEquals, StringLv): It identifies how much the LLM repeats specific values versus generating unique data points across instances (100%: Diverse, 0%: Repetitive). We group all generated attributes into bags (numeric and string) and then perform pairwise comparisons between every element to obtain. Structure (GED): Measures the Graph Edit Distance (GED) similarity between instances. Distribution (Shannon): Measures the entropy and evenness (balanced distribution) of the generated enum values. - NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
- NumericEquals = Total number of numeric attribute pairs with different values / Total number of possible pairs (n * (n - 1) / 2)
- StringEquals = Total number of string attribute pairs that are NOT exactly identical / Total number of possible pairs (n * (n - 1) / 2)
- StringLv = Sum of (Levenshtein Distance(a, b) / max(length(a), length(b))) for all string pairs / Total number of possible pairs (n * (n - 1) / 2)
- GED = Similarity = 1 - (GED / (0.5 * (GED_to_empty_A + GED_to_empty_B))). 1 = red = identical graphs, <=0.5 = green = different graphs. We consider as edit operations: Nodes, Edges, Node_Labels and Edge_Labels [https://github.com/a-coman/ged]
- Shannon (Active) = Entropy / log2(Number of unique groups actually generated). Measures how evenly the generated values are distributed, considering only the categories the LLM actually used.
- Shannon (All) = Entropy / log2(Total number of valid groups defined in the model). Measures how evenly the generated values are distributed against the full spectrum of all possible valid options defined in the .use file.
| Numeric | 97.8% |
| String Equals | 100.0% |
| String LV | 87.0% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.606 ± 0.163 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 87.5% |
| Attributes | 83.8% |
| Relationships | 88.9% |
Uncovered Items 10
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 23/∞ |
| Attributes | 50/50 |
| Relationships | 26/∞ |