Football / gen3
Viewer
!new Club('club5')
!club5.name := 'Forest Wolves'
!club5.homeGround := 'Forest Grounds'
!club5.chairman := 'Oliver Stone'
!new Club('club6')
!club6.name := 'Desert Foxes'
!club6.homeGround := 'Desert Arena'
!club6.chairman := 'Emma Carter'
!new Team('team5')
!team5.name := 'Wolf Pack'
!insert (club5, team5) into ClubTeam
!new Team('team6')
!team6.name := 'Fox Squad'
!insert (club6, team6) into ClubTeam
!new Competition('cupChampionship')
!cupChampionship.name := 'Cup Championship'
!cupChampionship.type := 'Knockout'
!new Match('match3')
!match3.date := '2023-12-05'
!match3.homeAway := true
!insert (cupChampionship, match3) into CompetitionMatch
!insert (team5, match3) into LocalMatch
!insert (team6, match3) into VisitorMatch
!new MatchReport('report3')
!report3.duration := 120
!report3.scoreVisitor := 2
!report3.scoreLocal := 4
!insert (match3, report3) into MatchMatchReport
!new Player('player5')
!player5.name := 'Lucas Hunt'
!player5.age := 24
!player5.bestFoot := #LEFT
!player5.phoneNumber := '4567890123'
!insert (team5, player5) into TeamPlayer
!new Player('player6')
!player6.name := 'Sophie Turner'
!player6.age := 21
!player6.bestFoot := #RIGHT
!player6.phoneNumber := '5678901234'
!insert (team6, player6) into TeamPlayer
!new Position('position5')
!position5.positionName := #FORWARD
!insert (player5, position5) into PlayerPositions
!new Position('position6')
!position6.positionName := #DEFENDER
!insert (player6, position6) into PlayerPositions
!new MatchPlayer('matchPlayer5')
!matchPlayer5.booked := false
!matchPlayer5.goals := 2
!matchPlayer5.rating := 9
!insert (player5, matchPlayer5) into PlayerMatch
!insert (match3, matchPlayer5) into MatchMatchPlayer
!new MatchPlayer('matchPlayer6')
!matchPlayer6.booked := true
!matchPlayer6.goals := 1
!matchPlayer6.rating := 7
!insert (player6, matchPlayer6) into PlayerMatch
!insert (match3, matchPlayer6) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition5')
!matchPlayerPosition5.positionName := #FORWARD
!matchPlayerPosition5.number := 11
!insert (matchPlayer5, matchPlayerPosition5) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition6')
!matchPlayerPosition6.positionName := #DEFENDER
!matchPlayerPosition6.number := 3
!insert (matchPlayer6, matchPlayerPosition6) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event9')
!event9.eventType := #GOAL
!event9.time := 18
!insert (match3, event9) into MatchMatchEvent
!new MatchEvent('event10')
!event10.eventType := #GOAL
!event10.time := 36
!insert (match3, event10) into MatchMatchEvent
!new MatchEvent('event11')
!event11.eventType := #GOAL
!event11.time := 58
!insert (match3, event11) into MatchMatchEvent
!new MatchEvent('event12')
!event12.eventType := #GOAL
!event12.time := 77
!insert (match3, event12) into MatchMatchEvent
!new MatchEvent('event13')
!event13.eventType := #GOAL
!event13.time := 101
!insert (match3, event13) into MatchMatchEvent
!new MatchEvent('event14')
!event14.eventType := #GOAL
!event14.time := 115
!insert (match3, event14) into MatchMatchEvent
!new TrainingSession('training5')
!training5.date := '2023-11-15'
!training5.location := 'Wolf Camp'
!training5.purpose := 'Endurance Training'
!insert (team5, training5) into TeamTraining
!new TrainingSession('training6')
!training6.date := '2023-11-20'
!training6.location := 'Fox Ground'
!training6.purpose := 'Speed Drills'
!insert (team6, training6) into TeamTraining
!new TrainingNotes('trainingNote5')
!trainingNote5.note := 'Improved stamina levels'
!trainingNote5.date := '2023-11-15'
!insert (training5, trainingNote5) into TrainingTrainingNotes
!new TrainingNotes('trainingNote6')
!trainingNote6.note := 'Increased agility on the pitch'
!trainingNote6.date := '2023-11-20'
!insert (training6, trainingNote6) into TrainingTrainingNotes
!new TrainingObjective('objective5')
!objective5.areaToImprove := 'Team Coordination'
!objective5.startDate := '2023-10-01'
!objective5.endDate := '2023-12-15'
!objective5.success := true
!insert (objective5, player5) into TrainingObjectivePlayer
!new TrainingObjective('objective6')
!objective6.areaToImprove := 'Agility Improvement'
!objective6.startDate := '2023-10-10'
!objective6.endDate := '2023-12-20'
!objective6.success := false
!insert (objective6, player6) 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. <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('club5')
!club5.name := 'Forest Wolves'
!club5.homeGround := 'Forest Grounds'
!club5.chairman := 'Oliver Stone'
!new Club('club6')
!club6.name := 'Desert Foxes'
!club6.homeGround := 'Desert Arena'
!club6.chairman := 'Emma Carter'
!new Team('team5')
!team5.name := 'Wolf Pack'
!insert (club5, team5) into ClubTeam
!new Team('team6')
!team6.name := 'Fox Squad'
!insert (club6, team6) into ClubTeam
!new Competition('cupChampionship')
!cupChampionship.name := 'Cup Championship'
!cupChampionship.type := 'Knockout'
!new Match('match3')
!match3.date := '2023-12-05'
!match3.homeAway := true
!insert (cupChampionship, match3) into CompetitionMatch
!insert (team5, match3) into LocalMatch
!insert (team6, match3) into VisitorMatch
!new MatchReport('report3')
!report3.duration := 120
!report3.scoreVisitor := 2
!report3.scoreLocal := 4
!insert (match3, report3) into MatchMatchReport
!new Player('player5')
!player5.name := 'Lucas Hunt'
!player5.age := 24
!player5.bestFoot := #LEFT
!player5.phoneNumber := '4567890123'
!insert (team5, player5) into TeamPlayer
!new Player('player6')
!player6.name := 'Sophie Turner'
!player6.age := 21
!player6.bestFoot := #RIGHT
!player6.phoneNumber := '5678901234'
!insert (team6, player6) into TeamPlayer
!new Position('position5')
!position5.positionName := #FORWARD
!insert (player5, position5) into PlayerPositions
!new Position('position6')
!position6.positionName := #DEFENDER
!insert (player6, position6) into PlayerPositions
!new MatchPlayer('matchPlayer5')
!matchPlayer5.booked := false
!matchPlayer5.goals := 2
!matchPlayer5.rating := 9
!insert (player5, matchPlayer5) into PlayerMatch
!insert (match3, matchPlayer5) into MatchMatchPlayer
!new MatchPlayer('matchPlayer6')
!matchPlayer6.booked := true
!matchPlayer6.goals := 1
!matchPlayer6.rating := 7
!insert (player6, matchPlayer6) into PlayerMatch
!insert (match3, matchPlayer6) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition5')
!matchPlayerPosition5.positionName := #FORWARD
!matchPlayerPosition5.number := 11
!insert (matchPlayer5, matchPlayerPosition5) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition6')
!matchPlayerPosition6.positionName := #DEFENDER
!matchPlayerPosition6.number := 3
!insert (matchPlayer6, matchPlayerPosition6) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event9')
!event9.eventType := #GOAL
!event9.time := 18
!insert (match3, event9) into MatchMatchEvent
!new MatchEvent('event10')
!event10.eventType := #GOAL
!event10.time := 36
!insert (match3, event10) into MatchMatchEvent
!new MatchEvent('event11')
!event11.eventType := #GOAL
!event11.time := 58
!insert (match3, event11) into MatchMatchEvent
!new MatchEvent('event12')
!event12.eventType := #GOAL
!event12.time := 77
!insert (match3, event12) into MatchMatchEvent
!new MatchEvent('event13')
!event13.eventType := #GOAL
!event13.time := 101
!insert (match3, event13) into MatchMatchEvent
!new MatchEvent('event14')
!event14.eventType := #GOAL
!event14.time := 115
!insert (match3, event14) into MatchMatchEvent
!new TrainingSession('training5')
!training5.date := '2023-11-15'
!training5.location := 'Wolf Camp'
!training5.purpose := 'Endurance Training'
!insert (team5, training5) into TeamTraining
!new TrainingSession('training6')
!training6.date := '2023-11-20'
!training6.location := 'Fox Ground'
!training6.purpose := 'Speed Drills'
!insert (team6, training6) into TeamTraining
!new TrainingNotes('trainingNote5')
!trainingNote5.note := 'Improved stamina levels'
!trainingNote5.date := '2023-11-15'
!insert (training5, trainingNote5) into TrainingTrainingNotes
!new TrainingNotes('trainingNote6')
!trainingNote6.note := 'Increased agility on the pitch'
!trainingNote6.date := '2023-11-20'
!insert (training6, trainingNote6) into TrainingTrainingNotes
!new TrainingObjective('objective5')
!objective5.areaToImprove := 'Team Coordination'
!objective5.startDate := '2023-10-01'
!objective5.endDate := '2023-12-15'
!objective5.success := true
!insert (objective5, player5) into TrainingObjectivePlayer
!new TrainingObjective('objective6')
!objective6.areaToImprove := 'Agility Improvement'
!objective6.startDate := '2023-10-10'
!objective6.endDate := '2023-12-20'
!objective6.success := false
!insert (objective6, player6) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object model perfectly aligns with the domain constraints and real-world football logic. The match duration of 120 makes sense for a 'Knockout' cup match with extra time, all 6 recorded 'GOAL' events perfectly equal the sum of local (4) and visitor (2) scores, and players' personal statuses, positions, timeline of events, and statistics are thoroughly plausible.
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 | $0.03 |
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 | 0/28 |
| 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 | 99.3% |
| String Equals | 99.6% |
| String LV | 86.6% |
| 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 | 27/∞ |
| Attributes | 65/65 |
| Relationships | 28/∞ |
Viewer
!new Club('clubW')
!clubW.name := 'Rome Gladiators'
!clubW.homeGround := 'Colosseum Arena'
!clubW.chairman := 'Giovanni Rossi'
!new Club('clubX')
!clubX.name := 'Tokyo Samurais'
!clubX.homeGround := 'Tokyo Dome'
!clubX.chairman := 'Aiko Okada'
!new Team('teamW')
!teamW.name := 'Rome Gladiators United'
!new Team('teamX')
!teamX.name := 'Tokyo Samurais FC'
!insert (clubW, teamW) into ClubTeam
!insert (clubX, teamX) into ClubTeam
!new Competition('competition10')
!competition10.name := 'Intercontinental Derby'
!competition10.type := 'Cup'
!new TrainingSession('trainingSession19')
!trainingSession19.date := '2023-09-30'
!trainingSession19.location := 'Rome Training Ground'
!trainingSession19.purpose := 'Polish Set-Piece Execution'
!new TrainingSession('trainingSession20')
!trainingSession20.date := '2023-09-28'
!trainingSession20.location := 'Samurai Training Facility'
!trainingSession20.purpose := 'Enhance Speed and Agility'
!insert (teamW, trainingSession19) into TeamTraining
!insert (teamX, trainingSession20) into TeamTraining
!new TrainingNotes('trainingNote19')
!trainingNote19.note := 'Practiced corner kicks and free-kick scenarios.'
!trainingNote19.date := '2023-09-30'
!new TrainingNotes('trainingNote20')
!trainingNote20.note := 'Timed sprints and reaction drills.'
!trainingNote20.date := '2023-09-28'
!insert (trainingSession19, trainingNote19) into TrainingTrainingNotes
!insert (trainingSession20, trainingNote20) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail8')
!trainingFail8.reason := 'Travel Delays'
!new Player('player25')
!player25.name := 'Marco Ventura'
!player25.age := 30
!player25.bestFoot := #LEFT
!player25.phoneNumber := '+39-06-0987654'
!new Player('player26')
!player26.name := 'Kenji Tanaka'
!player26.age := 24
!player26.bestFoot := #RIGHT
!player26.phoneNumber := '+81-3-23456789'
!insert (teamW, player25) into TeamPlayer
!insert (teamX, player26) into TeamPlayer
!insert (trainingSession20, trainingFail8) into TrainingFailded
!insert (trainingFail8, player26) into FailedPlayer
!new Match('match12')
!match12.date := '2023-10-10'
!match12.homeAway := true
!insert (teamW, match12) into LocalMatch
!insert (teamX, match12) into VisitorMatch
!insert (competition10, match12) into CompetitionMatch
!new MatchReport('matchReport12')
!matchReport12.duration := 90
!matchReport12.scoreVisitor := 1
!matchReport12.scoreLocal := 1
!insert (match12, matchReport12) into MatchMatchReport
!new MatchEvent('matchEvent34')
!matchEvent34.eventType := #GOAL
!matchEvent34.time := 12
!new MatchEvent('matchEvent35')
!matchEvent35.eventType := #GOAL
!matchEvent35.time := 64
!new MatchEvent('matchEvent36')
!matchEvent36.eventType := #FOUL
!matchEvent36.time := 55
!insert (match12, matchEvent34) into MatchMatchEvent
!insert (match12, matchEvent35) into MatchMatchEvent
!insert (match12, matchEvent36) into MatchMatchEvent
!new MatchNote('matchNote9')
!matchNote9.note := 'A thrilling showdown with equal dominance.'
!matchNote9.date := '2023-10-10'
!insert (match12, matchNote9) into MatchMatchNote
!new PlayerNotes('playerNote11')
!playerNote11.note := 'Shows promising potential in quick attacking transitions.'
!playerNote11.date := '2023-09-21'
!insert (player26, playerNote11) into PlayerPlayerNotes
!new TrainingObjective('trainingObjective19')
!trainingObjective19.areaToImprove := 'Positional Awareness'
!trainingObjective19.startDate := '2023-09-15'
!trainingObjective19.endDate := '2023-10-15'
!trainingObjective19.success := true
!new TrainingObjective('trainingObjective20')
!trainingObjective20.areaToImprove := 'Speed and Agility'
!trainingObjective20.startDate := '2023-09-15'
!trainingObjective20.endDate := '2023-10-15'
!trainingObjective20.success := false
!insert (trainingObjective19, player25) into TrainingObjectivePlayer
!insert (trainingObjective20, player26) into TrainingObjectivePlayer
!new MatchPlayer('matchPlayer21')
!matchPlayer21.booked := true
!matchPlayer21.goals := 0
!matchPlayer21.rating := 7
!new MatchPlayer('matchPlayer22')
!matchPlayer22.booked := false
!matchPlayer22.goals := 1
!matchPlayer22.rating := 10
!insert (player25, matchPlayer21) into PlayerMatch
!insert (player26, matchPlayer22) into PlayerMatch
!insert (match12, matchPlayer21) into MatchMatchPlayer
!insert (match12, matchPlayer22) into MatchMatchPlayer
!new MatchPlayerPosition('position62')
!position62.positionName := #MIDFIELDER
!position62.number := 8
!new MatchPlayerPosition('position63')
!position63.positionName := #FORWARD
!position63.number := 10
!insert (matchPlayer21, position62) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer22, position63) into MatchPlayerMatchPlayerPosition
!new Position('position64')
!position64.positionName := #MIDFIELDER
!new Position('position65')
!position65.positionName := #FORWARD
!insert (player25, position64) into PlayerPositions
!insert (player26, position65) into PlayerPositions 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 – Alternative Scenario
### Club
- **Club Instance 1:**
- `name`: "Rome Gladiators"
- `homeGround`: "Colosseum Arena"
- `chairman`: "Giovanni Rossi"
- **Club Instance 2:**
- `name`: "Tokyo Samurais"
- `homeGround`: "Tokyo Dome"
- `chairman`: "Aiko Okada"
### Team
- **Team Instance 1 (Rome Gladiators):**
- `name`: "Rome Gladiators United"
- **Team Instance 2 (Tokyo Samurais):**
- `name`: "Tokyo Samurais FC"
### Competition
- **Competition Instance 1:**
- `name`: "Intercontinental Derby"
- `type`: "Cup"
### TrainingSession
- **TrainingSession Instance 1 (Team: Rome Gladiators United):**
- `date`: "2023-09-30"
- `location`: "Rome Training Ground"
- `purpose`: "Polish Set-Piece Execution"
- **TrainingSession Instance 2 (Team: Tokyo Samurais FC):**
- `date`: "2023-09-28"
- `location`: "Samurai Training Facility"
- `purpose`: "Enhance Speed and Agility"
### TrainingNotes
- **TrainingNotes Instance 1 (Session: Rome Training Session):**
- `note`: "Practiced corner kicks and free-kick scenarios."
- `date`: "2023-09-30"
- **TrainingNotes Instance 2 (Session: Tokyo Training Session):**
- `note`: "Timed sprints and reaction drills."
- `date`: "2023-09-28"
### TrainingFailedToAttend
- **TrainingFailedToAttend Instance 1 (Session: Tokyo Training Session; Player: Kenji Tanaka):**
- `reason`: "Travel Delays"
### MatchEvent
- **MatchEvent Instance 1 (Match: Rome Gladiators vs. Tokyo Samurais):**
- `eventType`: GOAL
- `time`: 12
- **MatchEvent Instance 2 (Match: Rome Gladiators vs. Tokyo Samurais):**
- `eventType`: GOAL
- `time`: 64
- **MatchEvent Instance 3 (Match: Rome Gladiators vs. Tokyo Samurais):**
- `eventType`: RED_CARD
- `time`: 55
### Match
- **Match Instance 1 (Competition: Intercontinental Derby):**
- `date`: "2023-10-10"
- `homeAway`: True
### MatchReport
- **MatchReport Instance 1 (Match: Rome Gladiators vs. Tokyo Samurais):**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 1
### MatchNote
- **MatchNote Instance 1 (Match: Rome Gladiators vs. Tokyo Samurais):**
- `note`: "A thrilling showdown with equal dominance."
- `date`: "2023-10-10"
### Player
- **Player Instance 1 (Team: Rome Gladiators United):**
- `name`: "Marco Ventura"
- `age`: 30
- `bestFoot`: LEFT
- `phoneNumber`: "+39-06-0987654"
- **Player Instance 2 (Team: Tokyo Samurais FC):**
- `name`: "Kenji Tanaka"
- `age`: 24
- `bestFoot`: RIGHT
- `phoneNumber`: "+81-3-23456789"
### PlayerNotes
- **PlayerNotes Instance 1 (Player: Kenji Tanaka):**
- `note`: "Shows promising potential in quick attacking transitions."
- `date`: "2023-09-21"
### TrainingObjective
- **TrainingObjective Instance 1 (Player: Marco Ventura):**
- `areaToImprove`: "Positional Awareness"
- `startDate`: "2023-09-15"
- `endDate`: "2023-10-15"
- `success`: True
### MatchPlayer
- **MatchPlayer Instance 1 (Player: Marco Ventura):**
- `booked`: True
- `goals`: 0
- `rating`: 7
- **MatchPlayer Instance 2 (Player: Kenji Tanaka):**
- `booked`: False
- `goals`: 1
- `rating`: 10
### MatchPlayerPosition
- **MatchPlayerPosition Instance 1 (MatchPlayer: Marco Ventura):**
- `positionName`: Midfielder
- `number`: 8
- **MatchPlayerPosition Instance 2 (MatchPlayer: Kenji Tanaka):**
- `positionName`: Forward
- `number`: 10
### Position
- **Position Instance 1 (Player: Marco Ventura):**
- `positionName`: Midfield
- **Position Instance 2 (Player: Kenji Tanaka):**
- `positionName`: Striker
### Relationships and Constraints
- The `Rome Gladiators United` team is associated with the `Rome Gladiators` club.
- The `Tokyo Samurais FC` team is associated with the `Tokyo Samurais` club.
- The match on "2023-10-10" involves `Rome Gladiators United` as the home team and `Tokyo Samurais FC` as the visitor team, adhering to the rule that teams belong to distinct clubs.
- The total number of goals scored during the match matches the goal events recorded, maintaining system integrity.
- `Kenji Tanaka` missed a training session due to travel issues, realigning his focus on personal development through training objectives. The last output is partially incorrect:
temp.soil> !new MatchEvent('matchEvent36')
temp.soil> !matchEvent36.eventType := #RED_CARD
<input>:1:0: generation of expression `#RED_CARD' failed, with following error:
<input>:1:27: Undefined enumeration literal `RED_CARD'.
temp.soil> !new Position('position64')
temp.soil> !position64.positionName := #MIDFIELD
<input>:1:0: generation of expression `#MIDFIELD' failed, with following error:
<input>:1:28: Undefined enumeration literal `MIDFIELD'.
temp.soil> !new Position('position65')
temp.soil> !position65.positionName := #STRIKER
<input>:1:0: generation of expression `#STRIKER' failed, with following error:
<input>:1:28: Undefined enumeration literal `STRIKER'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player26' 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('clubW')
!clubW.name := 'Rome Gladiators'
!clubW.homeGround := 'Colosseum Arena'
!clubW.chairman := 'Giovanni Rossi'
!new Club('clubX')
!clubX.name := 'Tokyo Samurais'
!clubX.homeGround := 'Tokyo Dome'
!clubX.chairman := 'Aiko Okada'
!new Team('teamW')
!teamW.name := 'Rome Gladiators United'
!new Team('teamX')
!teamX.name := 'Tokyo Samurais FC'
!insert (clubW, teamW) into ClubTeam
!insert (clubX, teamX) into ClubTeam
!new Competition('competition10')
!competition10.name := 'Intercontinental Derby'
!competition10.type := 'Cup'
!new TrainingSession('trainingSession19')
!trainingSession19.date := '2023-09-30'
!trainingSession19.location := 'Rome Training Ground'
!trainingSession19.purpose := 'Polish Set-Piece Execution'
!new TrainingSession('trainingSession20')
!trainingSession20.date := '2023-09-28'
!trainingSession20.location := 'Samurai Training Facility'
!trainingSession20.purpose := 'Enhance Speed and Agility'
!insert (teamW, trainingSession19) into TeamTraining
!insert (teamX, trainingSession20) into TeamTraining
!new TrainingNotes('trainingNote19')
!trainingNote19.note := 'Practiced corner kicks and free-kick scenarios.'
!trainingNote19.date := '2023-09-30'
!new TrainingNotes('trainingNote20')
!trainingNote20.note := 'Timed sprints and reaction drills.'
!trainingNote20.date := '2023-09-28'
!insert (trainingSession19, trainingNote19) into TrainingTrainingNotes
!insert (trainingSession20, trainingNote20) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail8')
!trainingFail8.reason := 'Travel Delays'
!new Player('player25')
!player25.name := 'Marco Ventura'
!player25.age := 30
!player25.bestFoot := #LEFT
!player25.phoneNumber := '+39-06-0987654'
!new Player('player26')
!player26.name := 'Kenji Tanaka'
!player26.age := 24
!player26.bestFoot := #RIGHT
!player26.phoneNumber := '+81-3-23456789'
!insert (teamW, player25) into TeamPlayer
!insert (teamX, player26) into TeamPlayer
!insert (trainingSession20, trainingFail8) into TrainingFailded
!insert (trainingFail8, player26) into FailedPlayer
!new Match('match12')
!match12.date := '2023-10-10'
!match12.homeAway := true
!insert (teamW, match12) into LocalMatch
!insert (teamX, match12) into VisitorMatch
!insert (competition10, match12) into CompetitionMatch
!new MatchReport('matchReport12')
!matchReport12.duration := 90
!matchReport12.scoreVisitor := 1
!matchReport12.scoreLocal := 1
!insert (match12, matchReport12) into MatchMatchReport
!new MatchEvent('matchEvent34')
!matchEvent34.eventType := #GOAL
!matchEvent34.time := 12
!new MatchEvent('matchEvent35')
!matchEvent35.eventType := #GOAL
!matchEvent35.time := 64
!new MatchEvent('matchEvent36')
!matchEvent36.eventType := #FOUL
!matchEvent36.time := 55
!insert (match12, matchEvent34) into MatchMatchEvent
!insert (match12, matchEvent35) into MatchMatchEvent
!insert (match12, matchEvent36) into MatchMatchEvent
!new MatchNote('matchNote9')
!matchNote9.note := 'A thrilling showdown with equal dominance.'
!matchNote9.date := '2023-10-10'
!insert (match12, matchNote9) into MatchMatchNote
!new PlayerNotes('playerNote11')
!playerNote11.note := 'Shows promising potential in quick attacking transitions.'
!playerNote11.date := '2023-09-21'
!insert (player26, playerNote11) into PlayerPlayerNotes
!new TrainingObjective('trainingObjective19')
!trainingObjective19.areaToImprove := 'Positional Awareness'
!trainingObjective19.startDate := '2023-09-15'
!trainingObjective19.endDate := '2023-10-15'
!trainingObjective19.success := true
!new TrainingObjective('trainingObjective20')
!trainingObjective20.areaToImprove := 'Speed and Agility'
!trainingObjective20.startDate := '2023-09-15'
!trainingObjective20.endDate := '2023-10-15'
!trainingObjective20.success := false
!insert (trainingObjective19, player25) into TrainingObjectivePlayer
!insert (trainingObjective20, player26) into TrainingObjectivePlayer
!new MatchPlayer('matchPlayer21')
!matchPlayer21.booked := true
!matchPlayer21.goals := 0
!matchPlayer21.rating := 7
!new MatchPlayer('matchPlayer22')
!matchPlayer22.booked := false
!matchPlayer22.goals := 1
!matchPlayer22.rating := 10
!insert (player25, matchPlayer21) into PlayerMatch
!insert (player26, matchPlayer22) into PlayerMatch
!insert (match12, matchPlayer21) into MatchMatchPlayer
!insert (match12, matchPlayer22) into MatchMatchPlayer
!new MatchPlayerPosition('position62')
!position62.positionName := #MIDFIELDER
!position62.number := 8
!new MatchPlayerPosition('position63')
!position63.positionName := #FORWARD
!position63.number := 10
!insert (matchPlayer21, position62) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer22, position63) into MatchPlayerMatchPlayerPosition
!new Position('position64')
!position64.positionName := #MIDFIELDER
!new Position('position65')
!position65.positionName := #FORWARD
!insert (player25, position64) into PlayerPositions
!insert (player26, position65) into PlayerPositions
</object_model> LLM as a Judge
The object model represents a perfectly valid scenario with logically consistent real-world attributes (e.g., valid player ages, standard jersey numbers like 8 and 10, realistic names and locations). The match results exactly match the number of goal events registered, and match details like the 90-minute duration and out-of-10 player ratings reflect standard football conventions.
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 | $0.48 |
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 | 85.9% |
| 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('clubAA')
!clubAA.name := 'Jungle Leopards FC'
!clubAA.homeGround := 'Equatorial Arena'
!clubAA.chairman := 'Paolo Mendes'
!new Club('clubAB')
!clubAB.name := 'Highland Warriors'
!clubAB.homeGround := 'Alpine Fortress'
!clubAB.chairman := 'Greta Brandt'
!new Team('teamAA')
!teamAA.name := 'Rainforest Pumas'
!new Team('teamAB')
!teamAB.name := 'Mountain Eagles'
!insert (clubAA, teamAA) into ClubTeam
!insert (clubAB, teamAB) into ClubTeam
!new Player('player30')
!player30.name := 'Carlos Mendes'
!player30.age := 32
!player30.bestFoot := #LEFT
!player30.phoneNumber := '+557199876543'
!new Player('player31')
!player31.name := 'Natalia Moreno'
!player31.age := 20
!player31.bestFoot := #RIGHT
!player31.phoneNumber := '+557598765432'
!new Player('player32')
!player32.name := 'Elias Novak'
!player32.age := 28
!player32.bestFoot := #LEFT
!player32.phoneNumber := '+558812345678'
!insert (teamAA, player30) into TeamPlayer
!insert (teamAA, player31) into TeamPlayer
!insert (teamAB, player32) into TeamPlayer
!new Position('position70')
!position70.positionName := #MIDFIELDER
!new Position('position74')
!position74.positionName := #FORWARD
!new Position('position76')
!position76.positionName := #DEFENDER
!insert (player30, position70) into PlayerPositions
!insert (player31, position74) into PlayerPositions
!insert (player32, position76) into PlayerPositions
!new TrainingSession('trainingSession22')
!trainingSession22.date := '2023-11-10'
!trainingSession22.location := 'Canopy Training Center'
!trainingSession22.purpose := 'Tree Canopy Agility Drills'
!insert (teamAA, trainingSession22) into TeamTraining
!new TrainingSession('trainingSession23')
!trainingSession23.date := '2023-11-09'
!trainingSession23.location := 'Alpine Fortress Training Ground'
!trainingSession23.purpose := 'Altitude Adaptation Drills'
!insert (teamAB, trainingSession23) into TeamTraining
!new TrainingNotes('trainingNote22')
!trainingNote22.note := 'Focus on quick turns and elevated jumps.'
!trainingNote22.date := '2023-11-10'
!insert (trainingSession22, trainingNote22) into TrainingTrainingNotes
!new TrainingNotes('trainingNote23')
!trainingNote23.note := 'Players focused on cardiovascular endurance in high altitude.'
!trainingNote23.date := '2023-11-09'
!insert (trainingSession23, trainingNote23) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail9')
!trainingFail9.reason := 'Travel delays'
!insert (trainingFail9, player31) into FailedPlayer
!insert (trainingSession22, trainingFail9) into TrainingFailded
!new Competition('competition12')
!competition12.name := 'Summit Clash Cup'
!competition12.type := 'Knockout'
!new Match('match14')
!match14.date := '2023-11-12'
!match14.homeAway := true
!insert (teamAB, match14) into LocalMatch
!insert (teamAA, match14) into VisitorMatch
!insert (competition12, match14) into CompetitionMatch
!new MatchReport('matchReport14')
!matchReport14.duration := 90
!matchReport14.scoreVisitor := 1
!matchReport14.scoreLocal := 0
!insert (match14, matchReport14) into MatchMatchReport
!new MatchEvent('matchEvent40')
!matchEvent40.eventType := #GOAL
!matchEvent40.time := 15
!new MatchEvent('matchEvent41')
!matchEvent41.eventType := #FOUL
!matchEvent41.time := 70
!insert (match14, matchEvent40) into MatchMatchEvent
!insert (match14, matchEvent41) into MatchMatchEvent
!new MatchNote('matchNote11')
!matchNote11.note := 'Rainforest Pumas dominated possession early on.'
!matchNote11.date := '2023-11-12'
!insert (match14, matchNote11) into MatchMatchNote
!new PlayerNotes('playerNote12')
!playerNote12.note := 'Needs to improve long passes.'
!playerNote12.date := '2023-08-15'
!insert (player30, playerNote12) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer26')
!matchPlayer26.booked := false
!matchPlayer26.goals := 1
!matchPlayer26.rating := 8
!new MatchPlayer('matchPlayer27')
!matchPlayer27.booked := false
!matchPlayer27.goals := 0
!matchPlayer27.rating := 5
!insert (player30, matchPlayer26) into PlayerMatch
!insert (player31, matchPlayer27) into PlayerMatch
!insert (match14, matchPlayer26) into MatchMatchPlayer
!insert (match14, matchPlayer27) into MatchMatchPlayer
!new MatchPlayerPosition('position72')
!position72.positionName := #MIDFIELDER
!position72.number := 8
!new MatchPlayerPosition('position75')
!position75.positionName := #FORWARD
!position75.number := 11
!insert (matchPlayer26, position72) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer27, position75) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective21')
!trainingObjective21.areaToImprove := 'Enhance Vertical Leap'
!trainingObjective21.startDate := '2023-10-01'
!trainingObjective21.endDate := '2023-11-01'
!trainingObjective21.success := false
!new TrainingObjective('trainingObjective22')
!trainingObjective22.areaToImprove := 'Improve Passing Accuracy'
!trainingObjective22.startDate := '2023-10-01'
!trainingObjective22.endDate := '2023-11-01'
!trainingObjective22.success := true
!insert (trainingObjective21, player31) into TrainingObjectivePlayer
!insert (trainingObjective22, player30) 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:** Jungle Leopards FC
- **Home Ground:** Equatorial Arena
- **Chairman:** Paolo Mendes
- **Club Name:** Highland Warriors
- **Home Ground:** Alpine Fortress
- **Chairman:** Greta Brandt
### Teams
- **Team Name:** Rainforest Pumas (Belongs to Jungle Leopards FC)
- **Team Name:** Mountain Eagles (Belongs to Highland Warriors)
### Training Sessions
- **Training Session Date:** 2023-11-10
- **Location:** Canopy Training Center
- **Purpose:** Tree Canopy Agility Drills
- **Training Notes:**
- **Note:** Focus on quick turns and elevated jumps.
- **Date:** 2023-11-10
- **Training Failed To Attend:**
- **Reason:** Travel delays
- **Player Who Failed to Attend:** Elias Novak
### Competitions
- **Competition Name:** Summit Clash Cup
- **Type:** Knockout
- **Included Matches:** 3 matches (Boundary case focusing on an entire simple knockout competition)
### Match #1 Details
- **Match Date:** 2023-11-12
- **Home Away:** True (Match played away for Rainforest Pumas)
- **Local Team:** Mountain Eagles
- **Visitor Team:** Rainforest Pumas
### Match #1 Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 15
- **MatchEvent:** FOUL
- **EventType:** FOUL
- **Time:** 70
### Match #1 Report
- **Duration:** 90
- **Score Visitor:** 1
- **Score Local:** 0
### Match #1 Notes
- **Match Note:** Rainforest Pumas dominated possession early on.
- **Date:** 2023-11-12
### Players
- **Player Name:** Carlos Mendes
- **Age:** 32
- **Best Foot:** LEFT
- **Phone Number:** +557199876543
- **Positions Played:**
- **Player Position:** MIDFIELDER
- **Player Notes:**
- **Note:** Needs to improve long passes.
- **Date:** 2023-08-15
- **Participated Matches:** 3 matches
- **Player Name:** Natalia Moreno
- **Age:** 20
- **Best Foot:** RIGHT
- **Phone Number:** +557598765432
- **Positions Played:**
- **Player Position:** RIGHT_WING
- **Player Notes:** 0 entries (Boundary case for absence of personal notes)
- **Participated Matches:** 1 match only
### Match Player Statistics
- **Player (Match Player):** Carlos Mendes
- **Booked:** False (Focus on clean play)
- **Goals:** 1 (Boundary case of minimal scorer matching)
- **Rating:** 8
- **Player (Match Player):** Natalia Moreno
- **Booked:** False
- **Goals:** 0
- **Rating:** 5
### MatchPlayerPosition
- **Position Name:** MIDFIELDER
- **Jersey Number:** 8
- **Position Name:** RIGHT_WING
- **Jersey Number:** 11
### Training Objectives
- **Objective:** Enhance Vertical Leap
- **Start Date:** 2023-10-01
- **End Date:** 2023-11-01
- **Success:** No
- **Assigned Player:** Natalia Moreno
This instance offers a boundary case with heightened complexity through a succinct knockout competition structure, showcases zero player notes for one player, detailed training objectives for skill-specific improvement, and a scenario where a player does not attend a training session. It highlights minimal but critical events and ensures that roles and gameplay intricacies like goal scoring and fouls are highlighted. The last output is partially incorrect:
temp.soil> !new Position('position71')
temp.soil> !position71.positionName := #RIGHT_WING
<input>:1:0: generation of expression `#RIGHT_WING' failed, with following error:
<input>:1:28: Undefined enumeration literal `RIGHT_WING'.
temp.soil> !new MatchPlayerPosition('position73')
temp.soil> !position73.positionName := #RIGHT_WING
<input>:1:0: generation of expression `#RIGHT_WING' failed, with following error:
<input>:1:28: Undefined enumeration literal `RIGHT_WING'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player30' 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 `teamAB' 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 `teamAB' 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 The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TeamPlayer':
Object `teamAB' of class `Team' is connected to 0 objects of class `Player'
at association end `player' 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('clubAA')
!clubAA.name := 'Jungle Leopards FC'
!clubAA.homeGround := 'Equatorial Arena'
!clubAA.chairman := 'Paolo Mendes'
!new Club('clubAB')
!clubAB.name := 'Highland Warriors'
!clubAB.homeGround := 'Alpine Fortress'
!clubAB.chairman := 'Greta Brandt'
!new Team('teamAA')
!teamAA.name := 'Rainforest Pumas'
!new Team('teamAB')
!teamAB.name := 'Mountain Eagles'
!insert (clubAA, teamAA) into ClubTeam
!insert (clubAB, teamAB) into ClubTeam
!new Player('player30')
!player30.name := 'Carlos Mendes'
!player30.age := 32
!player30.bestFoot := #LEFT
!player30.phoneNumber := '+557199876543'
!new Player('player31')
!player31.name := 'Natalia Moreno'
!player31.age := 20
!player31.bestFoot := #RIGHT
!player31.phoneNumber := '+557598765432'
!new Player('player32')
!player32.name := 'Elias Novak'
!player32.age := 28
!player32.bestFoot := #LEFT
!player32.phoneNumber := '+558812345678'
!insert (teamAA, player30) into TeamPlayer
!insert (teamAA, player31) into TeamPlayer
!insert (teamAB, player32) into TeamPlayer
!new Position('position70')
!position70.positionName := #MIDFIELDER
!new Position('position74')
!position74.positionName := #FORWARD
!new Position('position76')
!position76.positionName := #DEFENDER
!insert (player30, position70) into PlayerPositions
!insert (player31, position74) into PlayerPositions
!insert (player32, position76) into PlayerPositions
!new TrainingSession('trainingSession22')
!trainingSession22.date := '2023-11-10'
!trainingSession22.location := 'Canopy Training Center'
!trainingSession22.purpose := 'Tree Canopy Agility Drills'
!insert (teamAA, trainingSession22) into TeamTraining
!new TrainingSession('trainingSession23')
!trainingSession23.date := '2023-11-09'
!trainingSession23.location := 'Alpine Fortress Training Ground'
!trainingSession23.purpose := 'Altitude Adaptation Drills'
!insert (teamAB, trainingSession23) into TeamTraining
!new TrainingNotes('trainingNote22')
!trainingNote22.note := 'Focus on quick turns and elevated jumps.'
!trainingNote22.date := '2023-11-10'
!insert (trainingSession22, trainingNote22) into TrainingTrainingNotes
!new TrainingNotes('trainingNote23')
!trainingNote23.note := 'Players focused on cardiovascular endurance in high altitude.'
!trainingNote23.date := '2023-11-09'
!insert (trainingSession23, trainingNote23) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail9')
!trainingFail9.reason := 'Travel delays'
!insert (trainingFail9, player31) into FailedPlayer
!insert (trainingSession22, trainingFail9) into TrainingFailded
!new Competition('competition12')
!competition12.name := 'Summit Clash Cup'
!competition12.type := 'Knockout'
!new Match('match14')
!match14.date := '2023-11-12'
!match14.homeAway := true
!insert (teamAB, match14) into LocalMatch
!insert (teamAA, match14) into VisitorMatch
!insert (competition12, match14) into CompetitionMatch
!new MatchReport('matchReport14')
!matchReport14.duration := 90
!matchReport14.scoreVisitor := 1
!matchReport14.scoreLocal := 0
!insert (match14, matchReport14) into MatchMatchReport
!new MatchEvent('matchEvent40')
!matchEvent40.eventType := #GOAL
!matchEvent40.time := 15
!new MatchEvent('matchEvent41')
!matchEvent41.eventType := #FOUL
!matchEvent41.time := 70
!insert (match14, matchEvent40) into MatchMatchEvent
!insert (match14, matchEvent41) into MatchMatchEvent
!new MatchNote('matchNote11')
!matchNote11.note := 'Rainforest Pumas dominated possession early on.'
!matchNote11.date := '2023-11-12'
!insert (match14, matchNote11) into MatchMatchNote
!new PlayerNotes('playerNote12')
!playerNote12.note := 'Needs to improve long passes.'
!playerNote12.date := '2023-08-15'
!insert (player30, playerNote12) into PlayerPlayerNotes
!new MatchPlayer('matchPlayer26')
!matchPlayer26.booked := false
!matchPlayer26.goals := 1
!matchPlayer26.rating := 8
!new MatchPlayer('matchPlayer27')
!matchPlayer27.booked := false
!matchPlayer27.goals := 0
!matchPlayer27.rating := 5
!insert (player30, matchPlayer26) into PlayerMatch
!insert (player31, matchPlayer27) into PlayerMatch
!insert (match14, matchPlayer26) into MatchMatchPlayer
!insert (match14, matchPlayer27) into MatchMatchPlayer
!new MatchPlayerPosition('position72')
!position72.positionName := #MIDFIELDER
!position72.number := 8
!new MatchPlayerPosition('position75')
!position75.positionName := #FORWARD
!position75.number := 11
!insert (matchPlayer26, position72) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer27, position75) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective21')
!trainingObjective21.areaToImprove := 'Enhance Vertical Leap'
!trainingObjective21.startDate := '2023-10-01'
!trainingObjective21.endDate := '2023-11-01'
!trainingObjective21.success := false
!new TrainingObjective('trainingObjective22')
!trainingObjective22.areaToImprove := 'Improve Passing Accuracy'
!trainingObjective22.startDate := '2023-10-01'
!trainingObjective22.endDate := '2023-11-01'
!trainingObjective22.success := true
!insert (trainingObjective21, player31) into TrainingObjectivePlayer
!insert (trainingObjective22, player30) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object model is entirely plausible and logically consistent with the domain. Attribute values such as player ages (20, 28, 32), match duration (90), and scores are within realistic bounds. The relationships align perfectly, and the match report's total score (1-0) correctly matches the single goal event and the individual player's goal count.
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 | $0.70 |
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 | 0/125 |
| Multiplicities | 1/30 |
| 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 | 96.7% |
| String Equals | 99.3% |
| String LV | 86.5% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.601 ± 0.148 |
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 | 28/∞ |
| Attributes | 67/67 |
| Relationships | 30/∞ |
Viewer
!new Club('clubAE')
!clubAE.name := 'Johannesburg Jaguars FC'
!clubAE.homeGround := 'Nelspruit Stadium'
!clubAE.chairman := 'Lindiwe Madiba'
!new Club('clubAF')
!clubAF.name := 'Buenos Aires Strikers'
!clubAF.homeGround := 'El Monumental'
!clubAF.chairman := 'Alejandro Gomez'
!new Club('clubAG')
!clubAG.name := 'Nairobi Warriors'
!clubAG.homeGround := 'Kasarani Stadium'
!clubAG.chairman := 'David Otieno'
!new Team('teamAE')
!teamAE.name := 'Johannesburg Jaguars Senior Team'
!new Team('teamAF')
!teamAF.name := 'Buenos Aires Strikers Elite Squad'
!new Team('teamAG')
!teamAG.name := 'Nairobi Warriors All-Stars'
!insert (clubAE, teamAE) into ClubTeam
!insert (clubAF, teamAF) into ClubTeam
!insert (clubAG, teamAG) into ClubTeam
!new Player('player35')
!player35.name := 'Thabo Mbeki'
!player35.age := 30
!player35.bestFoot := #RIGHT
!player35.phoneNumber := '+27123456789'
!new Player('player36')
!player36.name := 'Marco Veron'
!player36.age := 27
!player36.bestFoot := #LEFT
!player36.phoneNumber := '+5412345678'
!new Player('player37')
!player37.name := 'Kamau Wanjiku'
!player37.age := 32
!player37.bestFoot := #RIGHT
!player37.phoneNumber := '+254701234567'
!insert (teamAE, player35) into TeamPlayer
!insert (teamAF, player36) into TeamPlayer
!insert (teamAG, player37) into TeamPlayer
!new Position('position84')
!position84.positionName := #MIDFIELDER
!new Position('position83')
!position83.positionName := #FORWARD
!new Position('position76')
!position76.positionName := #DEFENDER
!insert (player35, position84) into PlayerPositions
!insert (player36, position83) into PlayerPositions
!insert (player37, position76) into PlayerPositions
!new Competition('competition14')
!competition14.name := 'Africa-South America Cup'
!competition14.type := 'International Tournament'
!new Match('match16')
!match16.date := '05-08-2023'
!match16.homeAway := false
!new Match('match17')
!match17.date := '11-08-2023'
!match17.homeAway := true
!insert (teamAE, match16) into LocalMatch
!insert (teamAG, match17) into LocalMatch
!insert (competition14, match16) into CompetitionMatch
!insert (competition14, match17) into CompetitionMatch
!new MatchReport('matchReport16')
!matchReport16.duration := 90
!matchReport16.scoreVisitor := 1
!matchReport16.scoreLocal := 1
!new MatchReport('matchReport17')
!matchReport17.duration := 90
!matchReport17.scoreVisitor := 1
!matchReport17.scoreLocal := 1
!insert (match16, matchReport16) into MatchMatchReport
!insert (match17, matchReport17) into MatchMatchReport
!new MatchPlayer('matchPlayer30')
!matchPlayer30.booked := true
!matchPlayer30.goals := 1
!matchPlayer30.rating := 8
!new MatchPlayer('matchPlayer31')
!matchPlayer31.booked := false
!matchPlayer31.goals := 0
!matchPlayer31.rating := 9
!new MatchPlayer('matchPlayer32')
!matchPlayer32.booked := false
!matchPlayer32.goals := 1
!matchPlayer32.rating := 7
!insert (player35, matchPlayer30) into PlayerMatch
!insert (player36, matchPlayer31) into PlayerMatch
!insert (player37, matchPlayer32) into PlayerMatch
!insert (match16, matchPlayer30) into MatchMatchPlayer
!insert (match17, matchPlayer31) into MatchMatchPlayer
!insert (match17, matchPlayer32) into MatchMatchPlayer
!new MatchPlayerPosition('position85')
!position85.positionName := #MIDFIELDER
!position85.number := 7
!new MatchPlayerPosition('position86')
!position86.positionName := #FORWARD
!position86.number := 9
!new MatchPlayerPosition('position87')
!position87.positionName := #DEFENDER
!position87.number := 4
!insert (matchPlayer30, position85) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer31, position86) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer32, position87) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent45')
!matchEvent45.eventType := #GOAL
!matchEvent45.time := 12
!new MatchEvent('matchEvent46')
!matchEvent46.eventType := #FOUL
!matchEvent46.time := 53
!new MatchEvent('matchEvent47')
!matchEvent47.eventType := #GOAL
!matchEvent47.time := 67
!insert (match16, matchEvent45) into MatchMatchEvent
!insert (match17, matchEvent46) into MatchMatchEvent
!insert (match17, matchEvent47) into MatchMatchEvent
!new TrainingSession('trainingSession26')
!trainingSession26.date := '01-08-2023'
!trainingSession26.location := 'El Monumental Training Ground'
!trainingSession26.purpose := 'Enhance offensive capabilities in tight spaces.'
!new TrainingSession('trainingSession28')
!trainingSession28.date := '03-08-2023'
!trainingSession28.location := 'Johannesburg Jaguars Training Ground'
!trainingSession28.purpose := 'Defensive Strategies'
!insert (teamAF, trainingSession26) into TeamTraining
!insert (teamAE, trainingSession28) into TeamTraining
!new TrainingNotes('trainingNote26')
!trainingNote26.note := 'Team executed intricate passing drills effectively, showing robustness in attack.'
!trainingNote26.date := '01-08-2023'
!new TrainingNotes('trainingNote28')
!trainingNote28.note := 'Solidified defense with innovative positioning tactics.'
!trainingNote28.date := '03-08-2023'
!insert (trainingSession26, trainingNote26) into TrainingTrainingNotes
!insert (trainingSession28, trainingNote28) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective25')
!trainingObjective25.areaToImprove := 'Offensive Plays'
!trainingObjective25.startDate := '20-07-2023'
!trainingObjective25.endDate := '03-08-2023'
!trainingObjective25.success := true
!new TrainingObjective('trainingObjective27')
!trainingObjective27.areaToImprove := 'Defensive Resilience'
!trainingObjective27.startDate := '20-07-2023'
!trainingObjective27.endDate := '03-08-2023'
!trainingObjective27.success := false
!insert (trainingObjective25, player36) into TrainingObjectivePlayer
!insert (trainingObjective27, player35) into TrainingObjectivePlayer
!insert (trainingObjective27, player37) 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:
### Continental Tournament Adventure
#### Clubs
- **Club: Johannesburg Jaguars FC**
- `name`: Johannesburg Jaguars FC
- `homeGround`: Nelspruit Stadium
- `chairman`: Lindiwe Madiba
- **Club: Buenos Aires Strikers**
- `name`: Buenos Aires Strikers
- `homeGround`: El Monumental
- `chairman`: Alejandro Gomez
- **Club: Nairobi Warriors**
- `name`: Nairobi Warriors
- `homeGround`: Kasarani Stadium
- `chairman`: David Otieno
#### Teams
- **Team: Johannesburg Jaguars Senior Team**
- `name`: Johannesburg Jaguars Senior Team
- **Team: Buenos Aires Strikers Elite Squad**
- `name`: Buenos Aires Strikers Elite Squad
- **Team: Nairobi Warriors All-Stars**
- `name`: Nairobi Warriors All-Stars
#### Players
- **Player: Thabo Mbeki**
- `name`: Thabo Mbeki
- `age`: 30
- `bestFoot`: Right
- `phoneNumber`: +27123456789
- **Player: Marco Veron**
- `name`: Marco Veron
- `age`: 27
- `bestFoot`: Left
- `phoneNumber`: +5412345678
- **Player: Kamau Wanjiku**
- `name`: Kamau Wanjiku
- `age`: 32
- `bestFoot`: Right
- `phoneNumber`: +254701234567
#### Positions
- **Position: Midfielder**
- `positionName`: Midfielder
- **Position: Forward**
- `positionName`: Forward
- **Position: Defender**
- `positionName`: Defender
#### Competitions
- **Competition: Africa-South America Cup**
- `name`: Africa-South America Cup
- `type`: International Tournament
#### Matches
- **Match: Jaguars vs Strikers Encounter**
- `date`: 05-08-2023
- `homeAway`: False
- **Match: Warriors vs Strikers Battle**
- `date`: 11-08-2023
- `homeAway`: True
- **MatchReport: Jaguars vs Strikers Report**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 2
- **MatchReport: Warriors vs Strikers Report**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 1
#### MatchPlayers
- **MatchPlayer: Thabo Mbeki in Jaguars vs Strikers**
- `booked`: True
- `goals`: 1
- `rating`: 8
- **MatchPlayer: Marco Veron in Jaguars vs Strikers**
- `booked`: False
- `goals`: 1
- `rating`: 9
- **MatchPlayer: Kamau Wanjiku in Warriors vs Strikers**
- `booked`: False
- `goals`: 1
- `rating`: 7
#### MatchPlayerPositions
- **MatchPlayerPosition: Thabo Mbeki as Midfielder**
- `positionName`: Midfielder
- `number`: 7
- **MatchPlayerPosition: Marco Veron as Forward**
- `positionName`: Forward
- `number`: 9
- **MatchPlayerPosition: Kamau Wanjiku as Defender**
- `positionName`: Defender
- `number`: 4
#### MatchEvents
- **MatchEvent: Goal by Thabo Mbeki**
- `eventType`: GOAL
- `time`: 12
- **MatchEvent: Goal by Marco Veron**
- `eventType`: GOAL
- `time`: 28
- **MatchEvent: Yellow Card for Thabo Mbeki**
- `eventType`: FOUL
- `time`: 53
- **MatchEvent: Goal by Kamau Wanjiku**
- `eventType`: GOAL
- `time`: 67
#### TrainingSessions
- **TrainingSession: Strikers Offensive Strategy Prep**
- `date`: 01-08-2023
- `location`: El Monumental Training Ground
- `purpose`: Enhance offensive capabilities in tight spaces.
#### TrainingNotes
- **TrainingNote: Improvement in Offensive Plays**
- `note`: Team executed intricate passing drills effectively, showing robustness in attack.
- `date`: 01-08-2023
#### TrainingObjectives
- **TrainingObjective: Enhance Offense Coordination**
- `areaToImprove`: Offensive Plays
- `startDate`: 20-07-2023
- `endDate`: 03-08-2023
- `success`: True
### Relationships and Integrity Constraints Fulfillment
1. **Club and Team Association**:
- "Johannesburg Jaguars FC" has "Johannesburg Jaguars Senior Team".
- "Buenos Aires Strikers" has "Buenos Aires Strikers Elite Squad".
- "Nairobi Warriors" has "Nairobi Warriors All-Stars".
2. **Team and Players**:
- "Johannesburg Jaguars Senior Team" includes player "Thabo Mbeki".
- "Buenos Aires Strikers Elite Squad" includes "Marco Veron".
- "Nairobi Warriors All-Stars" includes "Kamau Wanjiku".
3. **Competition and Matches**:
- The "Africa-South America Cup" includes matches "Jaguars vs Strikers Encounter" and "Warriors vs Strikers Battle".
4. **Match and Match Events**:
- Events align with the match reports’ goals and reflect player contributions.
5. **Training Sessions and Notes**:
- “Strikers Offensive Strategy Prep” has notes reflecting improvement in offensive plays.
6. **Training Objectives**:
- Success in the training objective demonstrates tangible enhancement in coordination.
7. **Non-Redundancy**:
- The instance features diverse cultural elements and does not replicate previous instances.
This version reflects a globally diverse football scenario involving teams from Africa and South America, focusing on international camaraderie and competition through strategic gameplay and training advancements. It demonstrates diversity not just in geography but also in match dynamics and strategic preparation. The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player35' 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 `player37' 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 `VisitorMatch':
Object `teamAF' of class `Team' is connected to 2 objects of class `Match'
at association end `visitorMatch' but the multiplicity is specified as `0..1'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAG' of class `Team' is connected to 0 objects of class `TrainingSession'
at association end `trainingSession' but the multiplicity is specified as `1..*'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAE' 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 `trainingObjective26' of class `TrainingObjective' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `VisitorMatch':
Object `teamAF' of class `Team' is connected to 2 objects of class `Match'
at association end `visitorMatch' but the multiplicity is specified as `0..1'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamAE' 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 <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('clubAE')
!clubAE.name := 'Johannesburg Jaguars FC'
!clubAE.homeGround := 'Nelspruit Stadium'
!clubAE.chairman := 'Lindiwe Madiba'
!new Club('clubAF')
!clubAF.name := 'Buenos Aires Strikers'
!clubAF.homeGround := 'El Monumental'
!clubAF.chairman := 'Alejandro Gomez'
!new Club('clubAG')
!clubAG.name := 'Nairobi Warriors'
!clubAG.homeGround := 'Kasarani Stadium'
!clubAG.chairman := 'David Otieno'
!new Team('teamAE')
!teamAE.name := 'Johannesburg Jaguars Senior Team'
!new Team('teamAF')
!teamAF.name := 'Buenos Aires Strikers Elite Squad'
!new Team('teamAG')
!teamAG.name := 'Nairobi Warriors All-Stars'
!insert (clubAE, teamAE) into ClubTeam
!insert (clubAF, teamAF) into ClubTeam
!insert (clubAG, teamAG) into ClubTeam
!new Player('player35')
!player35.name := 'Thabo Mbeki'
!player35.age := 30
!player35.bestFoot := #RIGHT
!player35.phoneNumber := '+27123456789'
!new Player('player36')
!player36.name := 'Marco Veron'
!player36.age := 27
!player36.bestFoot := #LEFT
!player36.phoneNumber := '+5412345678'
!new Player('player37')
!player37.name := 'Kamau Wanjiku'
!player37.age := 32
!player37.bestFoot := #RIGHT
!player37.phoneNumber := '+254701234567'
!insert (teamAE, player35) into TeamPlayer
!insert (teamAF, player36) into TeamPlayer
!insert (teamAG, player37) into TeamPlayer
!new Position('position84')
!position84.positionName := #MIDFIELDER
!new Position('position83')
!position83.positionName := #FORWARD
!new Position('position76')
!position76.positionName := #DEFENDER
!insert (player35, position84) into PlayerPositions
!insert (player36, position83) into PlayerPositions
!insert (player37, position76) into PlayerPositions
!new Competition('competition14')
!competition14.name := 'Africa-South America Cup'
!competition14.type := 'International Tournament'
!new Match('match16')
!match16.date := '05-08-2023'
!match16.homeAway := false
!new Match('match17')
!match17.date := '11-08-2023'
!match17.homeAway := true
!insert (teamAE, match16) into LocalMatch
!insert (teamAG, match17) into LocalMatch
!insert (competition14, match16) into CompetitionMatch
!insert (competition14, match17) into CompetitionMatch
!new MatchReport('matchReport16')
!matchReport16.duration := 90
!matchReport16.scoreVisitor := 1
!matchReport16.scoreLocal := 1
!new MatchReport('matchReport17')
!matchReport17.duration := 90
!matchReport17.scoreVisitor := 1
!matchReport17.scoreLocal := 1
!insert (match16, matchReport16) into MatchMatchReport
!insert (match17, matchReport17) into MatchMatchReport
!new MatchPlayer('matchPlayer30')
!matchPlayer30.booked := true
!matchPlayer30.goals := 1
!matchPlayer30.rating := 8
!new MatchPlayer('matchPlayer31')
!matchPlayer31.booked := false
!matchPlayer31.goals := 0
!matchPlayer31.rating := 9
!new MatchPlayer('matchPlayer32')
!matchPlayer32.booked := false
!matchPlayer32.goals := 1
!matchPlayer32.rating := 7
!insert (player35, matchPlayer30) into PlayerMatch
!insert (player36, matchPlayer31) into PlayerMatch
!insert (player37, matchPlayer32) into PlayerMatch
!insert (match16, matchPlayer30) into MatchMatchPlayer
!insert (match17, matchPlayer31) into MatchMatchPlayer
!insert (match17, matchPlayer32) into MatchMatchPlayer
!new MatchPlayerPosition('position85')
!position85.positionName := #MIDFIELDER
!position85.number := 7
!new MatchPlayerPosition('position86')
!position86.positionName := #FORWARD
!position86.number := 9
!new MatchPlayerPosition('position87')
!position87.positionName := #DEFENDER
!position87.number := 4
!insert (matchPlayer30, position85) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer31, position86) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer32, position87) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent45')
!matchEvent45.eventType := #GOAL
!matchEvent45.time := 12
!new MatchEvent('matchEvent46')
!matchEvent46.eventType := #FOUL
!matchEvent46.time := 53
!new MatchEvent('matchEvent47')
!matchEvent47.eventType := #GOAL
!matchEvent47.time := 67
!insert (match16, matchEvent45) into MatchMatchEvent
!insert (match17, matchEvent46) into MatchMatchEvent
!insert (match17, matchEvent47) into MatchMatchEvent
!new TrainingSession('trainingSession26')
!trainingSession26.date := '01-08-2023'
!trainingSession26.location := 'El Monumental Training Ground'
!trainingSession26.purpose := 'Enhance offensive capabilities in tight spaces.'
!new TrainingSession('trainingSession28')
!trainingSession28.date := '03-08-2023'
!trainingSession28.location := 'Johannesburg Jaguars Training Ground'
!trainingSession28.purpose := 'Defensive Strategies'
!insert (teamAF, trainingSession26) into TeamTraining
!insert (teamAE, trainingSession28) into TeamTraining
!new TrainingNotes('trainingNote26')
!trainingNote26.note := 'Team executed intricate passing drills effectively, showing robustness in attack.'
!trainingNote26.date := '01-08-2023'
!new TrainingNotes('trainingNote28')
!trainingNote28.note := 'Solidified defense with innovative positioning tactics.'
!trainingNote28.date := '03-08-2023'
!insert (trainingSession26, trainingNote26) into TrainingTrainingNotes
!insert (trainingSession28, trainingNote28) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective25')
!trainingObjective25.areaToImprove := 'Offensive Plays'
!trainingObjective25.startDate := '20-07-2023'
!trainingObjective25.endDate := '03-08-2023'
!trainingObjective25.success := true
!new TrainingObjective('trainingObjective27')
!trainingObjective27.areaToImprove := 'Defensive Resilience'
!trainingObjective27.startDate := '20-07-2023'
!trainingObjective27.endDate := '03-08-2023'
!trainingObjective27.success := false
!insert (trainingObjective25, player36) into TrainingObjectivePlayer
!insert (trainingObjective27, player35) into TrainingObjectivePlayer
!insert (trainingObjective27, player37) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The matches ('match16' and 'match17') lack an opposing team, as no 'VisitorMatch' relationships are established. Furthermore, the match reports for both matches indicate a final score of 1-1 (2 total goals), but only 1 'GOAL' event is assigned to each match, creating a mathematical and logical contradiction.
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 | $0.63 |
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 | 0/144 |
| Multiplicities | 4/34 |
| 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 | 91.4% |
| String Equals | 98.9% |
| String LV | 86.2% |
| Shannon (Active) | 0.946 ± 0.039 |
| Shannon (All) | 0.589 ± 0.162 |
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 | 72.2% |
Uncovered Items 13
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 | 32/∞ |
| Attributes | 78/78 |
| Relationships | 34/∞ |
Viewer
!new Club('clubU')
!clubU.name := 'Sahara Stars FC'
!clubU.homeGround := 'Sand Dunes Arena'
!clubU.chairman := 'Sheikh Ahmed Bin Tufan'
!new Club('clubV')
!clubV.name := 'Oasis Eagles'
!clubV.homeGround := 'Mirage Field'
!clubV.chairman := 'Lady Zara Al Hadi'
!new Team('teamU')
!teamU.name := 'Desert Flames'
!new Team('teamV')
!teamV.name := 'Oasis Falcons'
!insert (clubU, teamU) into ClubTeam
!insert (clubV, teamV) into ClubTeam
!new Player('player23')
!player23.name := 'Falcon Swift'
!player23.age := 22
!player23.bestFoot := #RIGHT
!player23.phoneNumber := '+3216549870'
!new Player('player24')
!player24.name := 'Mirage Keeper'
!player24.age := 28
!player24.bestFoot := #LEFT
!player24.phoneNumber := '+6655443322'
!insert (teamU, player23) into TeamPlayer
!insert (teamV, player24) into TeamPlayer
!new Position('position57')
!position57.positionName := #FORWARD
!new Position('position59')
!position59.positionName := #GOALKEEPER
!insert (player23, position57) into PlayerPositions
!insert (player24, position59) into PlayerPositions
!new Competition('competition9')
!competition9.name := 'Desert Showdown Series'
!competition9.type := 'Tournament'
!new Match('match11')
!match11.date := '15/10/2023'
!match11.homeAway := true
!insert (teamU, match11) into LocalMatch
!insert (teamV, match11) into VisitorMatch
!insert (competition9, match11) into CompetitionMatch
!new MatchReport('matchReport11')
!matchReport11.duration := 60
!matchReport11.scoreVisitor := 0
!matchReport11.scoreLocal := 1
!insert (match11, matchReport11) into MatchMatchReport
!new MatchEvent('matchEvent33')
!matchEvent33.eventType := #GOAL
!matchEvent33.time := 25
!insert (match11, matchEvent33) into MatchMatchEvent
!new MatchPlayer('matchPlayer19')
!matchPlayer19.booked := false
!matchPlayer19.goals := 1
!matchPlayer19.rating := 9
!new MatchPlayer('matchPlayer20')
!matchPlayer20.booked := true
!matchPlayer20.goals := 0
!matchPlayer20.rating := 8
!insert (player23, matchPlayer19) into PlayerMatch
!insert (player24, matchPlayer20) into PlayerMatch
!insert (match11, matchPlayer19) into MatchMatchPlayer
!insert (match11, matchPlayer20) into MatchMatchPlayer
!new MatchPlayerPosition('position60')
!position60.positionName := #FORWARD
!position60.number := 10
!new MatchPlayerPosition('position61')
!position61.positionName := #GOALKEEPER
!position61.number := 1
!insert (matchPlayer19, position60) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer20, position61) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession17')
!trainingSession17.date := '13/10/2023'
!trainingSession17.location := 'Mirage Field'
!trainingSession17.purpose := 'Endurance and Heat Adaptation'
!insert (teamU, trainingSession17) into TeamTraining
!new TrainingSession('trainingSession18')
!trainingSession18.date := '14/10/2023'
!trainingSession18.location := 'Sand Dunes Arena'
!trainingSession18.purpose := 'Goalkeeping Precision in Sand Conditions'
!insert (teamV, trainingSession18) into TeamTraining
!new TrainingNotes('trainingNote17')
!trainingNote17.note := 'Players showed improvement in stamina but struggled with hydration.'
!trainingNote17.date := '13/10/2023'
!insert (trainingSession17, trainingNote17) into TrainingTrainingNotes
!new TrainingNotes('trainingNote18')
!trainingNote18.note := 'Rapid adjustment to shifting sands enhanced goalkeeping techniques.'
!trainingNote18.date := '14/10/2023'
!insert (trainingSession18, trainingNote18) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective17')
!trainingObjective17.areaToImprove := 'Stamina in High Temperatures'
!trainingObjective17.startDate := '10/10/2023'
!trainingObjective17.endDate := '14/10/2023'
!trainingObjective17.success := true
!new TrainingObjective('trainingObjective18')
!trainingObjective18.areaToImprove := 'Agility in Desert Sands'
!trainingObjective18.startDate := '10/10/2023'
!trainingObjective18.endDate := '14/10/2023'
!trainingObjective18.success := true
!insert (trainingObjective17, player23) into TrainingObjectivePlayer
!insert (trainingObjective18, player24) into TrainingObjectivePlayer
!new PlayerNotes('playerNote9')
!playerNote9.note := 'Class-leading speed during close heat conditions.'
!playerNote9.date := '14/10/2023'
!insert (player23, playerNote9) into PlayerPlayerNotes
!new PlayerNotes('playerNote10')
!playerNote10.note := 'Outstanding reflexes, especially at dusk.'
!playerNote10.date := '13/10/2023'
!insert (player24, playerNote10) 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: "Desert Titans Football Clash"
### Clubs
- **Sahara Stars FC**
- Name: Sahara Stars FC
- Home Ground: Sand Dunes Arena
- Chairman: Sheikh Ahmed Bin Tufan
- **Oasis Eagles**
- Name: Oasis Eagles
- Home Ground: Mirage Field
- Chairman: Lady Zara Al Hadi
### Teams
- **Desert Flames**
- Part of: Sahara Stars FC
- **Oasis Falcons**
- Part of: Oasis Eagles
### Competitions
- **Name**: Desert Showdown Series
- Type: Tournament
### Matches
- **Date**: 15/10/2023
- **HomeAway**: True (Desert Flames' home match at Sand Dunes Arena)
- **Teams**: Desert Flames (local) vs. Oasis Falcons (visitor)
- **Match Report**:
- Duration: 60 minutes (shortened due to extreme heat)
- Score Visitor: 0
- Score Local: 1
- Total Goals: 1
- **Match Events**:
- **GOAL**: Minute 25 - Desert Flames
- **Match Players**:
- **Desert Flames**:
- Player: **Falcon Swift**, Goals: 1, Rating: 9, Booked: False
- Position: **Forward**, Jersey Number: 10
- **Oasis Falcons**:
- Player: **Mirage Keeper**, Goals: 0, Rating: 8, Booked: True
- Position: **Goalkeeper**, Jersey Number: 1
### Training Sessions
- **Session 1**
- Date: 13/10/2023
- Location: Mirage Field
- Purpose: Endurance and Heat Adaptation
- **Training Notes**:
- Note: "Players showed improvement in stamina but struggled with hydration."
- Date: 13/10/2023
- **Failed To Attend**: None
- **Training Objectives**:
- Area To Improve: Stamina in High Temperatures
- Start Date: 10/10/2023
- End Date: 14/10/2023
- Success: True
- Assigned Players:
- **Falcon Swift** from Desert Flames
### Players
- **Falcon Swift**
- Age: 22
- Best Foot: Right
- Phone Number: +3216549870
- **Positions**: Forward, Winger
- **Player Notes**:
- Note: "Class-leading speed during close heat conditions."
- Date: 14/10/2023
- **Mirage Keeper**
- Age: 28
- Best Foot: Left
- Phone Number: +6655443322
- **Positions**: Goalkeeper
- **Player Notes**:
- Note: "Outstanding reflexes, especially at dusk."
- Date: 13/10/2023
### Unusual Aspects:
- The match takes place in a desert environment with conditions like extreme heat impacting game duration and player performance.
- The locale emphasizes unique adaptations like heat endurance and rapid hydration techniques, diverging from typical football scenarios.
- The solitary goal underscores the challenging nature of the settings, as players manage difficult environmental conditions. The last output is partially incorrect:
temp.soil> !new Position('position58')
temp.soil> !position58.positionName := #WINGER
<input>:1:0: generation of expression `#WINGER' failed, with following error:
<input>:1:28: Undefined enumeration literal `WINGER'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player24' 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 `teamV' 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('clubU')
!clubU.name := 'Sahara Stars FC'
!clubU.homeGround := 'Sand Dunes Arena'
!clubU.chairman := 'Sheikh Ahmed Bin Tufan'
!new Club('clubV')
!clubV.name := 'Oasis Eagles'
!clubV.homeGround := 'Mirage Field'
!clubV.chairman := 'Lady Zara Al Hadi'
!new Team('teamU')
!teamU.name := 'Desert Flames'
!new Team('teamV')
!teamV.name := 'Oasis Falcons'
!insert (clubU, teamU) into ClubTeam
!insert (clubV, teamV) into ClubTeam
!new Player('player23')
!player23.name := 'Falcon Swift'
!player23.age := 22
!player23.bestFoot := #RIGHT
!player23.phoneNumber := '+3216549870'
!new Player('player24')
!player24.name := 'Mirage Keeper'
!player24.age := 28
!player24.bestFoot := #LEFT
!player24.phoneNumber := '+6655443322'
!insert (teamU, player23) into TeamPlayer
!insert (teamV, player24) into TeamPlayer
!new Position('position57')
!position57.positionName := #FORWARD
!new Position('position59')
!position59.positionName := #GOALKEEPER
!insert (player23, position57) into PlayerPositions
!insert (player24, position59) into PlayerPositions
!new Competition('competition9')
!competition9.name := 'Desert Showdown Series'
!competition9.type := 'Tournament'
!new Match('match11')
!match11.date := '15/10/2023'
!match11.homeAway := true
!insert (teamU, match11) into LocalMatch
!insert (teamV, match11) into VisitorMatch
!insert (competition9, match11) into CompetitionMatch
!new MatchReport('matchReport11')
!matchReport11.duration := 60
!matchReport11.scoreVisitor := 0
!matchReport11.scoreLocal := 1
!insert (match11, matchReport11) into MatchMatchReport
!new MatchEvent('matchEvent33')
!matchEvent33.eventType := #GOAL
!matchEvent33.time := 25
!insert (match11, matchEvent33) into MatchMatchEvent
!new MatchPlayer('matchPlayer19')
!matchPlayer19.booked := false
!matchPlayer19.goals := 1
!matchPlayer19.rating := 9
!new MatchPlayer('matchPlayer20')
!matchPlayer20.booked := true
!matchPlayer20.goals := 0
!matchPlayer20.rating := 8
!insert (player23, matchPlayer19) into PlayerMatch
!insert (player24, matchPlayer20) into PlayerMatch
!insert (match11, matchPlayer19) into MatchMatchPlayer
!insert (match11, matchPlayer20) into MatchMatchPlayer
!new MatchPlayerPosition('position60')
!position60.positionName := #FORWARD
!position60.number := 10
!new MatchPlayerPosition('position61')
!position61.positionName := #GOALKEEPER
!position61.number := 1
!insert (matchPlayer19, position60) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer20, position61) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession17')
!trainingSession17.date := '13/10/2023'
!trainingSession17.location := 'Mirage Field'
!trainingSession17.purpose := 'Endurance and Heat Adaptation'
!insert (teamU, trainingSession17) into TeamTraining
!new TrainingSession('trainingSession18')
!trainingSession18.date := '14/10/2023'
!trainingSession18.location := 'Sand Dunes Arena'
!trainingSession18.purpose := 'Goalkeeping Precision in Sand Conditions'
!insert (teamV, trainingSession18) into TeamTraining
!new TrainingNotes('trainingNote17')
!trainingNote17.note := 'Players showed improvement in stamina but struggled with hydration.'
!trainingNote17.date := '13/10/2023'
!insert (trainingSession17, trainingNote17) into TrainingTrainingNotes
!new TrainingNotes('trainingNote18')
!trainingNote18.note := 'Rapid adjustment to shifting sands enhanced goalkeeping techniques.'
!trainingNote18.date := '14/10/2023'
!insert (trainingSession18, trainingNote18) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective17')
!trainingObjective17.areaToImprove := 'Stamina in High Temperatures'
!trainingObjective17.startDate := '10/10/2023'
!trainingObjective17.endDate := '14/10/2023'
!trainingObjective17.success := true
!new TrainingObjective('trainingObjective18')
!trainingObjective18.areaToImprove := 'Agility in Desert Sands'
!trainingObjective18.startDate := '10/10/2023'
!trainingObjective18.endDate := '14/10/2023'
!trainingObjective18.success := true
!insert (trainingObjective17, player23) into TrainingObjectivePlayer
!insert (trainingObjective18, player24) into TrainingObjectivePlayer
!new PlayerNotes('playerNote9')
!playerNote9.note := 'Class-leading speed during close heat conditions.'
!playerNote9.date := '14/10/2023'
!insert (player23, playerNote9) into PlayerPlayerNotes
!new PlayerNotes('playerNote10')
!playerNote10.note := 'Outstanding reflexes, especially at dusk.'
!playerNote10.date := '13/10/2023'
!insert (player24, playerNote10) into PlayerPlayerNotes
</object_model> LLM as a Judge
The object model represents a logically consistent and highly plausible football scenario. The match scores precisely map to the individual player goals and match events, the timeline of training and match dates is chronological, and the allocated shirt numbers (1 for Goalkeeper, 10 for Forward) perfectly align with real-world football conventions. The match duration of 60 minutes is acceptable for a tournament format.
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 | $0.42 |
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 | 0/108 |
| Multiplicities | 0/25 |
| 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 | 93.9% |
| String Equals | 97.3% |
| String LV | 84.0% |
| 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 | 87.5% |
| Attributes | 91.9% |
| Relationships | 83.3% |
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 | 24/∞ |
| Attributes | 59/59 |
| Relationships | 25/∞ |
Viewer
!new Club('clubY')
!clubY.name := 'Andes Rangers FC'
!clubY.homeGround := 'Summit Park, Medellín'
!clubY.chairman := 'Camilo Lopez'
!new Club('clubZ')
!clubZ.name := 'Pampas Comets FC'
!clubZ.homeGround := 'Cosmic Field, Buenos Aires'
!clubZ.chairman := 'Lucia Mendoza'
!new Team('teamY')
!teamY.name := 'Andes Junior Rangers'
!new Team('teamZ')
!teamZ.name := 'Pampas Starlets'
!insert (clubY, teamY) into ClubTeam
!insert (clubZ, teamZ) into ClubTeam
!new Player('player27')
!player27.name := 'Roberto Gomez'
!player27.age := 20
!player27.bestFoot := #LEFT
!player27.phoneNumber := '+57 312 345 9876'
!new Position('position66')
!position66.positionName := #DEFENDER
!new Position('position67')
!position67.positionName := #FORWARD
!insert (player27, position66) into PlayerPositions
!insert (player27, position67) into PlayerPositions
!new Player('player28')
!player28.name := 'Ana Villanueva'
!player28.age := 23
!player28.bestFoot := #RIGHT
!player28.phoneNumber := '+54 123 456 7890'
!new Position('position68')
!position68.positionName := #GOALKEEPER
!insert (player28, position68) into PlayerPositions
!new Player('player29')
!player29.name := 'Isabel Marquez'
!player29.age := 18
!player29.bestFoot := #BOTH
!player29.phoneNumber := '+57 321 654 0987'
!new Position('position69')
!position69.positionName := #MIDFIELDER
!insert (player29, position69) into PlayerPositions
!insert (teamY, player27) into TeamPlayer
!insert (teamZ, player28) into TeamPlayer
!insert (teamY, player29) into TeamPlayer
!new Match('match13')
!match13.date := '5th December 2023'
!match13.homeAway := false
!insert (teamY, match13) into VisitorMatch
!insert (teamZ, match13) into LocalMatch
!new Competition('competition11')
!competition11.name := 'Annual Summit Tournament'
!competition11.type := 'Tournament'
!insert (competition11, match13) into CompetitionMatch
!new MatchReport('matchReport13')
!matchReport13.duration := 120
!matchReport13.scoreVisitor := 1
!matchReport13.scoreLocal := 2
!insert (match13, matchReport13) into MatchMatchReport
!new MatchEvent('matchEvent37')
!matchEvent37.eventType := #FOUL
!matchEvent37.time := 43
!new MatchEvent('matchEvent38')
!matchEvent38.eventType := #GOAL
!matchEvent38.time := 77
!new MatchEvent('matchEvent39')
!matchEvent39.eventType := #GOAL
!matchEvent39.time := 115
!insert (match13, matchEvent37) into MatchMatchEvent
!insert (match13, matchEvent38) into MatchMatchEvent
!insert (match13, matchEvent39) into MatchMatchEvent
!new MatchNote('matchNote10')
!matchNote10.note := 'A high-altitude showdown with logistical errors overshadowing young talent exhibition, reflecting the need for refined competition criteria.'
!matchNote10.date := '6th December 2023'
!insert (match13, matchNote10) into MatchMatchNote
!new TrainingSession('trainingSession21')
!trainingSession21.date := '7th December 2023'
!trainingSession21.location := 'Summit Park Training Ground'
!trainingSession21.purpose := 'Recovery session focused on stamina improvement after extended match exertion.'
!insert (teamY, trainingSession21) into TeamTraining
!new TrainingNotes('trainingNote21')
!trainingNote21.note := 'Notably fewer absences compared to usual, suggesting improved player management post-event.'
!trainingNote21.date := '7th December 2023'
!insert (trainingSession21, trainingNote21) into TrainingTrainingNotes
!new MatchPlayer('matchPlayer23')
!matchPlayer23.booked := true
!matchPlayer23.goals := 1
!matchPlayer23.rating := 7
!new MatchPlayer('matchPlayer24')
!matchPlayer24.booked := false
!matchPlayer24.goals := 0
!matchPlayer24.rating := 8
!new MatchPlayer('matchPlayer25')
!matchPlayer25.booked := false
!matchPlayer25.goals := 1
!matchPlayer25.rating := 9
!insert (player27, matchPlayer23) into PlayerMatch
!insert (player28, matchPlayer24) into PlayerMatch
!insert (player29, matchPlayer25) into PlayerMatch
!insert (match13, matchPlayer23) into MatchMatchPlayer
!insert (match13, matchPlayer24) into MatchMatchPlayer
!insert (match13, matchPlayer25) into MatchMatchPlayer 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 scene of South America, we delve into an interesting episode involving two notable clubs dedicated to nurturing talent in the mountainous regions. This scenario uncovers another facet of potential overconstraints involving match scheduling errors and unwarranted competition participation.
**Clubs:**
1. **Club A**
- `name`: Andes Rangers FC
- `homeGround`: Summit Park, Medellín
- `chairman`: Camilo Lopez
2. **Club B**
- `name`: Pampas Comets FC
- `homeGround`: Cosmic Field, Buenos Aires
- `chairman`: Lucia Mendoza
**Teams:**
- **Team A (Belonging to Andes Rangers FC)**
- `name`: Andes Junior Rangers
- **Team B (Belonging to Pampas Comets FC)**
- `name`: Pampas Starlets
**Players:**
1. **Player 1** (Belonging to Andes Junior Rangers)
- `name`: Roberto Gomez
- `age`: 20
- `bestFoot`: LEFT
- `phoneNumber`: +57 312 345 9876
- Positions:
- Defender
- Forward
2. **Player 2** (Belonging to Pampas Starlets)
- `name`: Ana Villanueva
- `age`: 23
- `bestFoot`: RIGHT
- `phoneNumber`: +54 123 456 7890
- Positions:
- Goalkeeper
3. **Player 3** (Specialist with exception in role)
- `name`: Isabel Marquez
- `age`: 18
- `bestFoot`: BOTH
- `phoneNumber`: +57 321 654 0987
- Positions:
- Midfielder
**Match:**
- **Date**: 5th December 2023
- **homeAway**: FALSE (Intended as an away game for Andes Junior Rangers in their own city)
- Note: A scheduling error records the away status in the home team's locale, challenging match realism.
**Competitions:**
1. **Annual Summit Tournament**
- `name`: Annual Summit Tournament
- `type`: Tournament
*Note*: This match between teams was erroneously listed under a competition setting that permits only senior teams, highlighting a constraints clash.
**MatchReport:**
- `duration`: 120 minutes (Includes extra time)
- `scoreVisitor`: 1
- `scoreLocal`: 2
**MatchPlayer:**
- **Player 1 Performance**
- `booked`: TRUE
- `goals`: 1
- `rating`: 7
- **Player 2 Performance**
- `booked`: FALSE
- `goals`: 0
- `rating`: 8
- **Player 3 Performance**
- `booked`: FALSE
- `goals`: 1
- `rating`: 9
**MatchEvent:**
1. **1st Event**
- `eventType`: FOUL
- `time`: 43
2. **2nd Event**
- `eventType`: GOAL
- `time`: 77
3. **3rd Event**
- `eventType`: GOAL
- `time`: 115
**MatchNote:**
- `note`: A high-altitude showdown with logistical errors overshadowing young talent exhibition, reflecting the need for refined competition criteria.
- `date`: 6th December 2023
**TrainingSession:**
- **Date**: 7th December 2023
- **Location**: Summit Park Training Ground
- **Purpose**: Recovery session focused on stamina improvement after extended match exertion.
**TrainingNotes:**
- `note`: Notably fewer absences compared to usual, suggesting improved player management post-event.
### Constraint Violations Highlighted:
1. **Local vs. Visitor Role Misalignment**: The reversal of home and away expectations highlights a configurational oversight where predicted roles do not match actual locations.
2. **Invalid Competition Enrollment**: The participation of junior teams in a senior-exclusive competition signals structural oversight and the necessity for database amendments.
This instance emphasizes a different dimension of system misuse through geographical and competition misassignments, further exposing practical limits within rigidly structured football management systems. <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('clubY')
!clubY.name := 'Andes Rangers FC'
!clubY.homeGround := 'Summit Park, Medellín'
!clubY.chairman := 'Camilo Lopez'
!new Club('clubZ')
!clubZ.name := 'Pampas Comets FC'
!clubZ.homeGround := 'Cosmic Field, Buenos Aires'
!clubZ.chairman := 'Lucia Mendoza'
!new Team('teamY')
!teamY.name := 'Andes Junior Rangers'
!new Team('teamZ')
!teamZ.name := 'Pampas Starlets'
!insert (clubY, teamY) into ClubTeam
!insert (clubZ, teamZ) into ClubTeam
!new Player('player27')
!player27.name := 'Roberto Gomez'
!player27.age := 20
!player27.bestFoot := #LEFT
!player27.phoneNumber := '+57 312 345 9876'
!new Position('position66')
!position66.positionName := #DEFENDER
!new Position('position67')
!position67.positionName := #FORWARD
!insert (player27, position66) into PlayerPositions
!insert (player27, position67) into PlayerPositions
!new Player('player28')
!player28.name := 'Ana Villanueva'
!player28.age := 23
!player28.bestFoot := #RIGHT
!player28.phoneNumber := '+54 123 456 7890'
!new Position('position68')
!position68.positionName := #GOALKEEPER
!insert (player28, position68) into PlayerPositions
!new Player('player29')
!player29.name := 'Isabel Marquez'
!player29.age := 18
!player29.bestFoot := #BOTH
!player29.phoneNumber := '+57 321 654 0987'
!new Position('position69')
!position69.positionName := #MIDFIELDER
!insert (player29, position69) into PlayerPositions
!insert (teamY, player27) into TeamPlayer
!insert (teamZ, player28) into TeamPlayer
!insert (teamY, player29) into TeamPlayer
!new Match('match13')
!match13.date := '5th December 2023'
!match13.homeAway := false
!insert (teamY, match13) into VisitorMatch
!insert (teamZ, match13) into LocalMatch
!new Competition('competition11')
!competition11.name := 'Annual Summit Tournament'
!competition11.type := 'Tournament'
!insert (competition11, match13) into CompetitionMatch
!new MatchReport('matchReport13')
!matchReport13.duration := 120
!matchReport13.scoreVisitor := 1
!matchReport13.scoreLocal := 2
!insert (match13, matchReport13) into MatchMatchReport
!new MatchEvent('matchEvent37')
!matchEvent37.eventType := #FOUL
!matchEvent37.time := 43
!new MatchEvent('matchEvent38')
!matchEvent38.eventType := #GOAL
!matchEvent38.time := 77
!new MatchEvent('matchEvent39')
!matchEvent39.eventType := #GOAL
!matchEvent39.time := 115
!insert (match13, matchEvent37) into MatchMatchEvent
!insert (match13, matchEvent38) into MatchMatchEvent
!insert (match13, matchEvent39) into MatchMatchEvent
!new MatchNote('matchNote10')
!matchNote10.note := 'A high-altitude showdown with logistical errors overshadowing young talent exhibition, reflecting the need for refined competition criteria.'
!matchNote10.date := '6th December 2023'
!insert (match13, matchNote10) into MatchMatchNote
!new TrainingSession('trainingSession21')
!trainingSession21.date := '7th December 2023'
!trainingSession21.location := 'Summit Park Training Ground'
!trainingSession21.purpose := 'Recovery session focused on stamina improvement after extended match exertion.'
!insert (teamY, trainingSession21) into TeamTraining
!new TrainingNotes('trainingNote21')
!trainingNote21.note := 'Notably fewer absences compared to usual, suggesting improved player management post-event.'
!trainingNote21.date := '7th December 2023'
!insert (trainingSession21, trainingNote21) into TrainingTrainingNotes
!new MatchPlayer('matchPlayer23')
!matchPlayer23.booked := true
!matchPlayer23.goals := 1
!matchPlayer23.rating := 7
!new MatchPlayer('matchPlayer24')
!matchPlayer24.booked := false
!matchPlayer24.goals := 0
!matchPlayer24.rating := 8
!new MatchPlayer('matchPlayer25')
!matchPlayer25.booked := false
!matchPlayer25.goals := 1
!matchPlayer25.rating := 9
!insert (player27, matchPlayer23) into PlayerMatch
!insert (player28, matchPlayer24) into PlayerMatch
!insert (player29, matchPlayer25) into PlayerMatch
!insert (match13, matchPlayer23) into MatchMatchPlayer
!insert (match13, matchPlayer24) into MatchMatchPlayer
!insert (match13, matchPlayer25) into MatchMatchPlayer
</object_model> LLM as a Judge
The MatchReport 'matchReport13' states a final score of 2-1 (totaling 3 goals), but only 2 'MatchEvent' objects of type GOAL ('matchEvent38', 'matchEvent39') are recorded in the match. Additionally, the 'goals' attributed to the players in 'MatchPlayer' only sum up to 2, causing a logical contradiction with the final score.
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 | $0.18 |
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 | 0/101 |
| Multiplicities | 7/25 |
| 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 | 97.1% |
| String Equals | 99.6% |
| String LV | 85.7% |
| Shannon (Active) | 0.973 ± 0.039 |
| Shannon (All) | 0.799 ± 0.285 |
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 | 75.0% |
| Attributes | 75.7% |
| Relationships | 72.2% |
Uncovered Items 18
Show all 9 attributes
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 | 53/53 |
| Relationships | 25/∞ |