Football / gen2
Viewer
!new Club('club3')
!club3.name := 'Mountain Eagles'
!club3.homeGround := 'Eagle Nest Stadium'
!club3.chairman := 'Michael Green'
!new Club('club4')
!club4.name := 'Valley Tigers'
!club4.homeGround := 'Tiger Den Arena'
!club4.chairman := 'Laura White'
!new Team('team3')
!team3.name := 'Eagle Flyers'
!insert (club3, team3) into ClubTeam
!new Team('team4')
!team4.name := 'Tiger Strikers'
!insert (club4, team4) into ClubTeam
!new Competition('friendlyCup')
!friendlyCup.name := 'Friendly Cup'
!friendlyCup.type := 'Exhibition'
!new Match('match2')
!match2.date := '2023-11-25'
!match2.homeAway := false
!insert (friendlyCup, match2) into CompetitionMatch
!insert (team3, match2) into LocalMatch
!insert (team4, match2) into VisitorMatch
!new MatchReport('report2')
!report2.duration := 90
!report2.scoreVisitor := 3
!report2.scoreLocal := 2
!insert (match2, report2) into MatchMatchReport
!new Player('player3')
!player3.name := 'Charlie Hudson'
!player3.age := 22
!player3.bestFoot := #BOTH
!player3.phoneNumber := '2345678901'
!insert (team3, player3) into TeamPlayer
!new Player('player4')
!player4.name := 'Dylan Brown'
!player4.age := 27
!player4.bestFoot := #RIGHT
!player4.phoneNumber := '3456789012'
!insert (team4, player4) into TeamPlayer
!new Position('position3')
!position3.positionName := #MIDFIELDER
!insert (player3, position3) into PlayerPositions
!new Position('position4')
!position4.positionName := #GOALKEEPER
!insert (player4, position4) into PlayerPositions
!new MatchPlayer('matchPlayer3')
!matchPlayer3.booked := true
!matchPlayer3.goals := 2
!matchPlayer3.rating := 9
!insert (player3, matchPlayer3) into PlayerMatch
!insert (match2, matchPlayer3) into MatchMatchPlayer
!new MatchPlayer('matchPlayer4')
!matchPlayer4.booked := false
!matchPlayer4.goals := 1
!matchPlayer4.rating := 7
!insert (player4, matchPlayer4) into PlayerMatch
!insert (match2, matchPlayer4) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition3')
!matchPlayerPosition3.positionName := #MIDFIELDER
!matchPlayerPosition3.number := 8
!insert (matchPlayer3, matchPlayerPosition3) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition4')
!matchPlayerPosition4.positionName := #GOALKEEPER
!matchPlayerPosition4.number := 1
!insert (matchPlayer4, matchPlayerPosition4) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event4')
!event4.eventType := #GOAL
!event4.time := 15
!insert (match2, event4) into MatchMatchEvent
!new MatchEvent('event5')
!event5.eventType := #GOAL
!event5.time := 42
!insert (match2, event5) into MatchMatchEvent
!new MatchEvent('event6')
!event6.eventType := #GOAL
!event6.time := 67
!insert (match2, event6) into MatchMatchEvent
!new MatchEvent('event7')
!event7.eventType := #GOAL
!event7.time := 70
!insert (match2, event7) into MatchMatchEvent
!new MatchEvent('event8')
!event8.eventType := #GOAL
!event8.time := 85
!insert (match2, event8) into MatchMatchEvent
!new TrainingSession('training3')
!training3.date := '2023-10-05'
!training3.location := 'Eagle Park'
!training3.purpose := 'Formation Drills'
!insert (team3, training3) into TeamTraining
!new TrainingSession('training4')
!training4.date := '2023-10-20'
!training4.location := 'Tiger Camp'
!training4.purpose := 'Goalkeeping Practice'
!insert (team4, training4) into TeamTraining
!new TrainingNotes('trainingNote3')
!trainingNote3.note := 'Midfield agility exercises'
!trainingNote3.date := '2023-10-05'
!insert (training3, trainingNote3) into TrainingTrainingNotes
!new TrainingNotes('trainingNote4')
!trainingNote4.note := 'Improvement in response time'
!trainingNote4.date := '2023-10-20'
!insert (training4, trainingNote4) into TrainingTrainingNotes
!new TrainingObjective('objective3')
!objective3.areaToImprove := 'Ball Control'
!objective3.startDate := '2023-09-01'
!objective3.endDate := '2023-12-01'
!objective3.success := false
!insert (objective3, player3) into TrainingObjectivePlayer
!new TrainingObjective('objective4')
!objective4.areaToImprove := 'Shot Blocking'
!objective4.startDate := '2023-09-15'
!objective4.endDate := '2023-11-15'
!objective4.success := true
!insert (objective4, player4) into TrainingObjectivePlayer model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) Given a conceptual model expressed in the UML-based Specification Environment (USE), your task is to generate valid and realistic instances that conform to the provided model. <requirements> - Instances must be syntactically correct according to the USE syntax_reference. - Avoid unnecessary comments and output the instance in plain text (i.e., not markdown). - Make sure instances fulfill all the model's constraints, and that multiplicities, relationships, and attributes are valid and realistic. - Provide multiple instances with diverse data values and structure. </requirements> <syntax_reference> Here there is a snippet showing how to create objects and set values in the specific .soil language required: -- This is a comment example -- Primitive data types: -- Integer i.e. 1, 2, 3, etc. -- Real i.e. 1.0, 21.89, 322.05556, etc. -- Boolean i.e. true or false -- String i.e. 'Hello World' -- You can create instances with the following syntax: !new <instance type>('<instance name>') -- Example: !new Client('client1') !new Store('store4') -- You can assign values to attributes for a created instance with the following syntax: !<instance name>.<attribute name> := <value> -- Example for different data types: !client1.clientId := 1 -- For Integer !client1.balance := 1123.45 -- For Real !client1.name := 'John' -- For Strings !store4.available := true -- For Boolean -- You can create associations between instances with the following syntax: !insert (<instance name1>, <instance name2>) into <association name> -- Example: !insert (client1, store4) into ClientStore -- Custom data types usage: -- dataType Location -- operations -- Location(x : Real, y : Real) -- some other operations -- end -- You can create custom data types by calling the constructor directly; in this case, the constructor of Location requires two arguments: x and y of type Real. So it can be used as follows: !store4.location := Location(14.0, 289.0) -- Enums usage: -- enum Type { Clothes, Shoes } -- Can be used as follows: !store4.type := #Clothes </syntax_reference> Please generate another instance that is structurally and semantically different from the previous ones. The last output is partially incorrect:
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.
Please provide the complete output corrected <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> <domain_model>
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>
<object_model>
!new Club('club3')
!club3.name := 'Mountain Eagles'
!club3.homeGround := 'Eagle Nest Stadium'
!club3.chairman := 'Michael Green'
!new Club('club4')
!club4.name := 'Valley Tigers'
!club4.homeGround := 'Tiger Den Arena'
!club4.chairman := 'Laura White'
!new Team('team3')
!team3.name := 'Eagle Flyers'
!insert (club3, team3) into ClubTeam
!new Team('team4')
!team4.name := 'Tiger Strikers'
!insert (club4, team4) into ClubTeam
!new Competition('friendlyCup')
!friendlyCup.name := 'Friendly Cup'
!friendlyCup.type := 'Exhibition'
!new Match('match2')
!match2.date := '2023-11-25'
!match2.homeAway := false
!insert (friendlyCup, match2) into CompetitionMatch
!insert (team3, match2) into LocalMatch
!insert (team4, match2) into VisitorMatch
!new MatchReport('report2')
!report2.duration := 90
!report2.scoreVisitor := 3
!report2.scoreLocal := 2
!insert (match2, report2) into MatchMatchReport
!new Player('player3')
!player3.name := 'Charlie Hudson'
!player3.age := 22
!player3.bestFoot := #BOTH
!player3.phoneNumber := '2345678901'
!insert (team3, player3) into TeamPlayer
!new Player('player4')
!player4.name := 'Dylan Brown'
!player4.age := 27
!player4.bestFoot := #RIGHT
!player4.phoneNumber := '3456789012'
!insert (team4, player4) into TeamPlayer
!new Position('position3')
!position3.positionName := #MIDFIELDER
!insert (player3, position3) into PlayerPositions
!new Position('position4')
!position4.positionName := #GOALKEEPER
!insert (player4, position4) into PlayerPositions
!new MatchPlayer('matchPlayer3')
!matchPlayer3.booked := true
!matchPlayer3.goals := 2
!matchPlayer3.rating := 9
!insert (player3, matchPlayer3) into PlayerMatch
!insert (match2, matchPlayer3) into MatchMatchPlayer
!new MatchPlayer('matchPlayer4')
!matchPlayer4.booked := false
!matchPlayer4.goals := 1
!matchPlayer4.rating := 7
!insert (player4, matchPlayer4) into PlayerMatch
!insert (match2, matchPlayer4) into MatchMatchPlayer
!new MatchPlayerPosition('matchPlayerPosition3')
!matchPlayerPosition3.positionName := #MIDFIELDER
!matchPlayerPosition3.number := 8
!insert (matchPlayer3, matchPlayerPosition3) into MatchPlayerMatchPlayerPosition
!new MatchPlayerPosition('matchPlayerPosition4')
!matchPlayerPosition4.positionName := #GOALKEEPER
!matchPlayerPosition4.number := 1
!insert (matchPlayer4, matchPlayerPosition4) into MatchPlayerMatchPlayerPosition
!new MatchEvent('event4')
!event4.eventType := #GOAL
!event4.time := 15
!insert (match2, event4) into MatchMatchEvent
!new MatchEvent('event5')
!event5.eventType := #GOAL
!event5.time := 42
!insert (match2, event5) into MatchMatchEvent
!new MatchEvent('event6')
!event6.eventType := #GOAL
!event6.time := 67
!insert (match2, event6) into MatchMatchEvent
!new MatchEvent('event7')
!event7.eventType := #GOAL
!event7.time := 70
!insert (match2, event7) into MatchMatchEvent
!new MatchEvent('event8')
!event8.eventType := #GOAL
!event8.time := 85
!insert (match2, event8) into MatchMatchEvent
!new TrainingSession('training3')
!training3.date := '2023-10-05'
!training3.location := 'Eagle Park'
!training3.purpose := 'Formation Drills'
!insert (team3, training3) into TeamTraining
!new TrainingSession('training4')
!training4.date := '2023-10-20'
!training4.location := 'Tiger Camp'
!training4.purpose := 'Goalkeeping Practice'
!insert (team4, training4) into TeamTraining
!new TrainingNotes('trainingNote3')
!trainingNote3.note := 'Midfield agility exercises'
!trainingNote3.date := '2023-10-05'
!insert (training3, trainingNote3) into TrainingTrainingNotes
!new TrainingNotes('trainingNote4')
!trainingNote4.note := 'Improvement in response time'
!trainingNote4.date := '2023-10-20'
!insert (training4, trainingNote4) into TrainingTrainingNotes
!new TrainingObjective('objective3')
!objective3.areaToImprove := 'Ball Control'
!objective3.startDate := '2023-09-01'
!objective3.endDate := '2023-12-01'
!objective3.success := false
!insert (objective3, player3) into TrainingObjectivePlayer
!new TrainingObjective('objective4')
!objective4.areaToImprove := 'Shot Blocking'
!objective4.startDate := '2023-09-15'
!objective4.endDate := '2023-11-15'
!objective4.success := true
!insert (objective4, player4) into TrainingObjectivePlayer
</object_model> LLM as a Judge
All objects, attributes, and relationships represent a plausible real-world football scenario. The match scores match the sum of goal events, the event times fall within the standard 90-minute duration, and training objectives logically align with player positions (e.g., "Shot Blocking" for a goalkeeper). While a goalkeeper scoring a goal is rare, it is entirely possible in football (e.g., penalties or set pieces).
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 | $0.05 |
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 | 0/116 |
| Multiplicities | 0/27 |
| 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 | 98.3% |
| String Equals | 99.6% |
| String LV | 86.4% |
| 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 | 26/∞ |
| Attributes | 63/63 |
| Relationships | 27/∞ |
Viewer
!new Club('clubM')
!clubM.name := 'London Rovers'
!clubM.homeGround := 'Wembley Stadium'
!clubM.chairman := 'James Parker'
!new Club('clubN')
!clubN.name := 'Barcelona Bulls'
!clubN.homeGround := 'Camp Nou'
!clubN.chairman := 'Alejandro Diaz'
!new Team('teamM')
!teamM.name := 'London Rovers A-Team'
!new Team('teamN')
!teamN.name := 'Barcelona Bulls Major'
!insert (clubM, teamM) into ClubTeam
!insert (clubN, teamN) into ClubTeam
!new Competition('competition6')
!competition6.name := 'World Football Cup'
!competition6.type := 'International League'
!new TrainingSession('trainingSession10')
!trainingSession10.date := '2023-09-20'
!trainingSession10.location := 'Rovers Training Center'
!trainingSession10.purpose := 'Increase Stamina'
!new TrainingSession('trainingSession11')
!trainingSession11.date := '2023-09-21'
!trainingSession11.location := 'Bulls Practice Ground'
!trainingSession11.purpose := 'Strengthen Defensive Skills'
!insert (teamM, trainingSession10) into TeamTraining
!insert (teamN, trainingSession11) into TeamTraining
!new TrainingNotes('trainingNote10')
!trainingNote10.note := 'Long-distance running and endurance drills.'
!trainingNote10.date := '2023-09-20'
!new TrainingNotes('trainingNote11')
!trainingNote11.note := 'Defensive formations and tackling practices.'
!trainingNote11.date := '2023-09-21'
!insert (trainingSession10, trainingNote10) into TrainingTrainingNotes
!insert (trainingSession11, trainingNote11) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail6')
!trainingFail6.reason := 'Family Emergency'
!new Player('player13')
!player13.name := 'Henry Thompson'
!player13.age := 27
!player13.bestFoot := #LEFT
!player13.phoneNumber := '+44-20-7654321'
!new Player('player14')
!player14.name := 'Carlos Martinez'
!player14.age := 25
!player14.bestFoot := #RIGHT
!player14.phoneNumber := '+34-93-5678901'
!insert (teamM, player13) into TeamPlayer
!insert (teamN, player14) into TeamPlayer
!insert (trainingSession10, trainingFail6) into TrainingFailded
!insert (trainingFail6, player13) into FailedPlayer
!new Match('match7')
!match7.date := '2023-10-05'
!match7.homeAway := false
!insert (teamN, match7) into LocalMatch
!insert (teamM, match7) into VisitorMatch
!insert (competition6, match7) into CompetitionMatch
!new MatchReport('matchReport7')
!matchReport7.duration := 90
!matchReport7.scoreVisitor := 2
!matchReport7.scoreLocal := 0
!insert (match7, matchReport7) into MatchMatchReport
!new MatchEvent('matchEvent23')
!matchEvent23.eventType := #GOAL
!matchEvent23.time := 15
!new MatchEvent('matchEvent24')
!matchEvent24.eventType := #GOAL
!matchEvent24.time := 80
!new MatchEvent('matchEvent25')
!matchEvent25.eventType := #FOUL
!matchEvent25.time := 42
!insert (match7, matchEvent23) into MatchMatchEvent
!insert (match7, matchEvent24) into MatchMatchEvent
!insert (match7, matchEvent25) into MatchMatchEvent
!new MatchNote('matchNote5')
!matchNote5.note := 'Barcelona Bulls dominated with superior ball possession.'
!matchNote5.date := '2023-10-05'
!insert (match7, matchNote5) into MatchMatchNote
!new PlayerNotes('playerNote6')
!playerNote6.note := 'Needs to work on his tackling mentality.'
!playerNote6.date := '2023-09-10'
!insert (player13, playerNote6) into PlayerPlayerNotes
!new TrainingObjective('trainingObjective11')
!trainingObjective11.areaToImprove := 'Passing Accuracy'
!trainingObjective11.startDate := '2023-09-15'
!trainingObjective11.endDate := '2023-10-15'
!trainingObjective11.success := false
!new TrainingObjective('trainingObjective12')
!trainingObjective12.areaToImprove := 'Shoot Precision'
!trainingObjective12.startDate := '2023-09-15'
!trainingObjective12.endDate := '2023-10-15'
!trainingObjective12.success := true
!insert (trainingObjective11, player13) into TrainingObjectivePlayer
!insert (trainingObjective12, player14) into TrainingObjectivePlayer
!new MatchPlayer('matchPlayer12')
!matchPlayer12.booked := false
!matchPlayer12.goals := 0
!matchPlayer12.rating := 6
!new MatchPlayer('matchPlayer13')
!matchPlayer13.booked := false
!matchPlayer13.goals := 1
!matchPlayer13.rating := 9
!insert (player13, matchPlayer12) into PlayerMatch
!insert (player14, matchPlayer13) into PlayerMatch
!insert (match7, matchPlayer12) into MatchMatchPlayer
!insert (match7, matchPlayer13) into MatchMatchPlayer
!new MatchPlayerPosition('position36')
!position36.positionName := #DEFENDER
!position36.number := 4
!new MatchPlayerPosition('position37')
!position37.positionName := #FORWARD
!position37.number := 11
!insert (matchPlayer12, position36) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer13, position37) into MatchPlayerMatchPlayerPosition
!new Position('position38')
!position38.positionName := #DEFENDER
!new Position('position39')
!position39.positionName := #FORWARD
!insert (player13, position38) into PlayerPositions
!insert (player14, position39) 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 – Different Scenario
### Club
- **Club Instance 1:**
- `name`: "London Rovers"
- `homeGround`: "Wembley Stadium"
- `chairman`: "James Parker"
- **Club Instance 2:**
- `name`: "Barcelona Bulls"
- `homeGround`: "Camp Nou"
- `chairman`: "Alejandro Diaz"
### Team
- **Team Instance 1 (London Rovers):**
- `name`: "London Rovers A-Team"
- **Team Instance 2 (Barcelona Bulls):**
- `name`: "Barcelona Bulls Major"
### Competition
- **Competition Instance 1:**
- `name`: "World Football Cup"
- `type`: "International League"
### TrainingSession
- **TrainingSession Instance 1 (Team: London Rovers A-Team):**
- `date`: "2023-09-20"
- `location`: "Rovers Training Center"
- `purpose`: "Increase Stamina"
- **TrainingSession Instance 2 (Team: Barcelona Bulls Major):**
- `date`: "2023-09-21"
- `location`: "Bulls Practice Ground"
- `purpose`: "Strengthen Defensive Skills"
### TrainingNotes
- **TrainingNotes Instance 1 (Session: London Training Session):**
- `note`: "Long-distance running and endurance drills."
- `date`: "2023-09-20"
- **TrainingNotes Instance 2 (Session: Barcelona Training Session):**
- `note`: "Defensive formations and tackling practices."
- `date`: "2023-09-21"
### TrainingFailedToAttend
- **TrainingFailedToAttend Instance 1 (Session: London Training Session; Player: Henry Thompson):**
- `reason`: "Family Emergency"
### MatchEvent
- **MatchEvent Instance 1 (Match: London Rovers vs. Barcelona Bulls):**
- `eventType`: GOAL
- `time`: 15
- **MatchEvent Instance 2 (Match: London Rovers vs. Barcelona Bulls):**
- `eventType`: GOAL
- `time`: 80
- **MatchEvent Instance 3 (Match: London Rovers vs. Barcelona Bulls):**
- `eventType`: FOUL
- `time`: 42
### Match
- **Match Instance 1 (Competition: World Football Cup):**
- `date`: "2023-10-05"
- `homeAway`: False
### MatchReport
- **MatchReport Instance 1 (Match: London Rovers vs. Barcelona Bulls):**
- `duration`: 90
- `scoreVisitor`: 2
- `scoreLocal`: 0
### MatchNote
- **MatchNote Instance 1 (Match: London Rovers vs. Barcelona Bulls):**
- `note`: "Barcelona Bulls dominated with superior ball possession."
- `date`: "2023-10-05"
### Player
- **Player Instance 1 (Team: London Rovers A-Team):**
- `name`: "Henry Thompson"
- `age`: 27
- `bestFoot`: LEFT
- `phoneNumber`: "+44-20-7654321"
- **Player Instance 2 (Team: Barcelona Bulls Major):**
- `name`: "Carlos Martinez"
- `age`: 25
- `bestFoot`: RIGHT
- `phoneNumber`: "+34-93-5678901"
### PlayerNotes
- **PlayerNotes Instance 1 (Player: Henry Thompson):**
- `note`: "Needs to work on his tackling mentality."
- `date`: "2023-09-10"
### TrainingObjective
- **TrainingObjective Instance 1 (Player: Henry Thompson):**
- `areaToImprove`: "Passing Accuracy"
- `startDate`: "2023-09-15"
- `endDate`: "2023-10-15"
- `success`: False
### MatchPlayer
- **MatchPlayer Instance 1 (Player: Henry Thompson):**
- `booked`: False
- `goals`: 0
- `rating`: 6
- **MatchPlayer Instance 2 (Player: Carlos Martinez):**
- `booked`: False
- `goals`: 1
- `rating`: 9
### MatchPlayerPosition
- **MatchPlayerPosition Instance 1 (MatchPlayer: Henry Thompson):**
- `positionName`: Defender
- `number`: 4
- **MatchPlayerPosition Instance 2 (MatchPlayer: Carlos Martinez):**
- `positionName`: Forward
- `number`: 11
### Position
- **Position Instance 1 (Player: Henry Thompson):**
- `positionName`: Defense
- **Position Instance 2 (Player: Carlos Martinez):**
- `positionName`: Striker
### Relationships and Constraints
- The `London Rovers A-Team` is part of the `London Rovers` club.
- The `Barcelona Bulls Major` is part of the `Barcelona Bulls` club.
- The match on "2023-10-05" involves `Barcelona Bulls Major` as the home team, ensuring they are not at their own home ground (away match for documentation purposes as away matches do not necessarily have to occur physically away due to competitive arrangements).
- Match scores correctly reflect the total GOAL events, ensuring that the system invariants hold.
- `Henry Thompson` missed a training session but continues to pursue his training objectives to improve his skills. The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player14' 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('clubM')
!clubM.name := 'London Rovers'
!clubM.homeGround := 'Wembley Stadium'
!clubM.chairman := 'James Parker'
!new Club('clubN')
!clubN.name := 'Barcelona Bulls'
!clubN.homeGround := 'Camp Nou'
!clubN.chairman := 'Alejandro Diaz'
!new Team('teamM')
!teamM.name := 'London Rovers A-Team'
!new Team('teamN')
!teamN.name := 'Barcelona Bulls Major'
!insert (clubM, teamM) into ClubTeam
!insert (clubN, teamN) into ClubTeam
!new Competition('competition6')
!competition6.name := 'World Football Cup'
!competition6.type := 'International League'
!new TrainingSession('trainingSession10')
!trainingSession10.date := '2023-09-20'
!trainingSession10.location := 'Rovers Training Center'
!trainingSession10.purpose := 'Increase Stamina'
!new TrainingSession('trainingSession11')
!trainingSession11.date := '2023-09-21'
!trainingSession11.location := 'Bulls Practice Ground'
!trainingSession11.purpose := 'Strengthen Defensive Skills'
!insert (teamM, trainingSession10) into TeamTraining
!insert (teamN, trainingSession11) into TeamTraining
!new TrainingNotes('trainingNote10')
!trainingNote10.note := 'Long-distance running and endurance drills.'
!trainingNote10.date := '2023-09-20'
!new TrainingNotes('trainingNote11')
!trainingNote11.note := 'Defensive formations and tackling practices.'
!trainingNote11.date := '2023-09-21'
!insert (trainingSession10, trainingNote10) into TrainingTrainingNotes
!insert (trainingSession11, trainingNote11) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail6')
!trainingFail6.reason := 'Family Emergency'
!new Player('player13')
!player13.name := 'Henry Thompson'
!player13.age := 27
!player13.bestFoot := #LEFT
!player13.phoneNumber := '+44-20-7654321'
!new Player('player14')
!player14.name := 'Carlos Martinez'
!player14.age := 25
!player14.bestFoot := #RIGHT
!player14.phoneNumber := '+34-93-5678901'
!insert (teamM, player13) into TeamPlayer
!insert (teamN, player14) into TeamPlayer
!insert (trainingSession10, trainingFail6) into TrainingFailded
!insert (trainingFail6, player13) into FailedPlayer
!new Match('match7')
!match7.date := '2023-10-05'
!match7.homeAway := false
!insert (teamN, match7) into LocalMatch
!insert (teamM, match7) into VisitorMatch
!insert (competition6, match7) into CompetitionMatch
!new MatchReport('matchReport7')
!matchReport7.duration := 90
!matchReport7.scoreVisitor := 2
!matchReport7.scoreLocal := 0
!insert (match7, matchReport7) into MatchMatchReport
!new MatchEvent('matchEvent23')
!matchEvent23.eventType := #GOAL
!matchEvent23.time := 15
!new MatchEvent('matchEvent24')
!matchEvent24.eventType := #GOAL
!matchEvent24.time := 80
!new MatchEvent('matchEvent25')
!matchEvent25.eventType := #FOUL
!matchEvent25.time := 42
!insert (match7, matchEvent23) into MatchMatchEvent
!insert (match7, matchEvent24) into MatchMatchEvent
!insert (match7, matchEvent25) into MatchMatchEvent
!new MatchNote('matchNote5')
!matchNote5.note := 'Barcelona Bulls dominated with superior ball possession.'
!matchNote5.date := '2023-10-05'
!insert (match7, matchNote5) into MatchMatchNote
!new PlayerNotes('playerNote6')
!playerNote6.note := 'Needs to work on his tackling mentality.'
!playerNote6.date := '2023-09-10'
!insert (player13, playerNote6) into PlayerPlayerNotes
!new TrainingObjective('trainingObjective11')
!trainingObjective11.areaToImprove := 'Passing Accuracy'
!trainingObjective11.startDate := '2023-09-15'
!trainingObjective11.endDate := '2023-10-15'
!trainingObjective11.success := false
!new TrainingObjective('trainingObjective12')
!trainingObjective12.areaToImprove := 'Shoot Precision'
!trainingObjective12.startDate := '2023-09-15'
!trainingObjective12.endDate := '2023-10-15'
!trainingObjective12.success := true
!insert (trainingObjective11, player13) into TrainingObjectivePlayer
!insert (trainingObjective12, player14) into TrainingObjectivePlayer
!new MatchPlayer('matchPlayer12')
!matchPlayer12.booked := false
!matchPlayer12.goals := 0
!matchPlayer12.rating := 6
!new MatchPlayer('matchPlayer13')
!matchPlayer13.booked := false
!matchPlayer13.goals := 1
!matchPlayer13.rating := 9
!insert (player13, matchPlayer12) into PlayerMatch
!insert (player14, matchPlayer13) into PlayerMatch
!insert (match7, matchPlayer12) into MatchMatchPlayer
!insert (match7, matchPlayer13) into MatchMatchPlayer
!new MatchPlayerPosition('position36')
!position36.positionName := #DEFENDER
!position36.number := 4
!new MatchPlayerPosition('position37')
!position37.positionName := #FORWARD
!position37.number := 11
!insert (matchPlayer12, position36) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer13, position37) into MatchPlayerMatchPlayerPosition
!new Position('position38')
!position38.positionName := #DEFENDER
!new Position('position39')
!position39.positionName := #FORWARD
!insert (player13, position38) into PlayerPositions
!insert (player14, position39) into PlayerPositions
</object_model> LLM as a Judge
The match report 'matchReport7' indicates that the local team ('teamN') scored 0 goals (`scoreLocal := 0`). However, 'player14', who is a player for 'teamN', is recorded in 'matchPlayer13' as having scored 1 goal (`goals := 1`) with a high rating of 9, directly contradicting the team's 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 | $0.21 |
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 | 98.9% |
| 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('clubS')
!clubS.name := 'Northern Lights FC'
!clubS.homeGround := 'Aurora Borealis Field'
!clubS.chairman := 'Jorma Aalto'
!new Club('clubT')
!clubT.name := 'Coastal Hurricanes'
!clubT.homeGround := 'Pacific Breeze Stadium'
!clubT.chairman := 'Hana Nakamura'
!new Team('teamS')
!teamS.name := 'Aurora Stars'
!new Team('teamT')
!teamT.name := 'Ocean Waves'
!insert (clubS, teamS) into ClubTeam
!insert (clubT, teamT) into ClubTeam
!new Player('player21')
!player21.name := 'Helmi Korhonen'
!player21.age := 28
!player21.bestFoot := #RIGHT
!player21.phoneNumber := '+358456789012'
!new Player('player22')
!player22.name := 'Keiko Tanaka'
!player22.age := 24
!player22.bestFoot := #BOTH
!player22.phoneNumber := '+819012345678'
!insert (teamS, player21) into TeamPlayer
!insert (teamT, player22) into TeamPlayer
!new Position('position54')
!position54.positionName := #DEFENDER
!new Position('position47')
!position47.positionName := #FORWARD
!insert (player21, position54) into PlayerPositions
!insert (player22, position47) into PlayerPositions
!new TrainingSession('trainingSession15')
!trainingSession15.date := '2023-10-15'
!trainingSession15.location := 'Frozen Fjords Arena'
!trainingSession15.purpose := 'Adaptation to Arctic Conditions'
!insert (teamS, trainingSession15) into TeamTraining
!new TrainingSession('trainingSession16')
!trainingSession16.date := '2023-10-14'
!trainingSession16.location := 'Coastal Grounds'
!trainingSession16.purpose := 'Wind Resistance Training'
!insert (teamT, trainingSession16) into TeamTraining
!new TrainingNotes('trainingNote15')
!trainingNote15.note := 'Player agility in extreme cold needs improvement.'
!trainingNote15.date := '2023-10-15'
!insert (trainingSession15, trainingNote15) into TrainingTrainingNotes
!new TrainingNotes('trainingNote16')
!trainingNote16.note := 'Players adapted well to windy conditions.'
!trainingNote16.date := '2023-10-14'
!insert (trainingSession16, trainingNote16) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail7')
!trainingFail7.reason := 'Family emergency'
!insert (trainingFail7, player22) into FailedPlayer
!insert (trainingSession15, trainingFail7) into TrainingFailded
!new Competition('competition8')
!competition8.name := 'World Ends Meet Cup'
!competition8.type := 'Tournament'
!new Match('match10')
!match10.date := '2023-10-20'
!match10.homeAway := false
!insert (teamS, match10) into LocalMatch
!insert (teamT, match10) into VisitorMatch
!insert (competition8, match10) into CompetitionMatch
!new MatchReport('matchReport10')
!matchReport10.duration := 120
!matchReport10.scoreVisitor := 1
!matchReport10.scoreLocal := 1
!insert (match10, matchReport10) into MatchMatchReport
!new MatchEvent('matchEvent31')
!matchEvent31.eventType := #GOAL
!matchEvent31.time := 10
!new MatchEvent('matchEvent32')
!matchEvent32.eventType := #GOAL
!matchEvent32.time := 85
!insert (match10, matchEvent31) into MatchMatchEvent
!insert (match10, matchEvent32) into MatchMatchEvent
!new MatchNote('matchNote8')
!matchNote8.note := 'Match extended to extra time due to tied score.'
!matchNote8.date := '2023-10-20'
!insert (match10, matchNote8) into MatchMatchNote
!new MatchPlayer('matchPlayer17')
!matchPlayer17.booked := true
!matchPlayer17.goals := 0
!matchPlayer17.rating := 6
!new MatchPlayer('matchPlayer18')
!matchPlayer18.booked := true
!matchPlayer18.goals := 1
!matchPlayer18.rating := 7
!insert (player21, matchPlayer17) into PlayerMatch
!insert (player22, matchPlayer18) into PlayerMatch
!insert (match10, matchPlayer17) into MatchMatchPlayer
!insert (match10, matchPlayer18) into MatchMatchPlayer
!new MatchPlayerPosition('position55')
!position55.positionName := #DEFENDER
!position55.number := 3
!new MatchPlayerPosition('position56')
!position56.positionName := #FORWARD
!position56.number := 10
!insert (matchPlayer17, position55) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer18, position56) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective15')
!trainingObjective15.areaToImprove := 'Improve Endurance'
!trainingObjective15.startDate := '2023-09-01'
!trainingObjective15.endDate := '2023-10-01'
!trainingObjective15.success := true
!new TrainingObjective('trainingObjective16')
!trainingObjective16.areaToImprove := 'Defensive Skills'
!trainingObjective16.startDate := '2023-09-01'
!trainingObjective16.endDate := '2023-10-01'
!trainingObjective16.success := false
!insert (trainingObjective15, player21) into TrainingObjectivePlayer
!insert (trainingObjective16, player22) into TrainingObjectivePlayer
!new PlayerNotes('playerNote8')
!playerNote8.note := 'Requires attention to defensive skills.'
!playerNote8.date := '2023-09-01'
!insert (player22, playerNote8) 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:
## Instance: Boundary Case
### Clubs
- **Club Name:** Northern Lights FC
- **Home Ground:** Aurora Borealis Field
- **Chairman:** Jorma Aalto
- **Club Name:** Coastal Hurricanes
- **Home Ground:** Pacific Breeze Stadium
- **Chairman:** Hana Nakamura
### Teams
- **Team Name:** Aurora Stars (Belongs to Northern Lights FC)
- **Team Name:** Ocean Waves (Belongs to Coastal Hurricanes)
### Training Sessions
- **Training Session Date:** 2023-10-15
- **Location:** Frozen Fjords Arena
- **Purpose:** Adaptation to Arctic Conditions
- **Training Notes:**
- **Note:** Player agility in extreme cold needs improvement.
- **Date:** 2023-10-15
- **Training Failed To Attend:**
- **Reason:** Family emergency
- **Player Who Failed to Attend:** Keiko Tanaka
### Competitions
- **Competition Name:** World Ends Meet Cup
- **Type:** Tournament
- **Included Matches:** 0 matches initially (Boundary case for minimum limit before matches are scheduled)
### Match Details
- **Match Date:** 2023-10-20
- **Home Away:** False (Match played at home for Aurora Stars)
- **Local Team:** Aurora Stars
- **Visitor Team:** Ocean Waves
### Match Events
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 10
- **MatchEvent:** GOAL
- **EventType:** GOAL
- **Time:** 85 (Boundary case for minimal total events matching both teams' scores)
### Match Report
- **Duration:** 120 (Extra time due to tournament)
- **Score Visitor:** 1
- **Score Local:** 1
### Match Notes
- **Match Note:** Match extended to extra time due to tied score.
- **Date:** 2023-10-20
### Players
- **Player Name:** Helmi Korhonen
- **Age:** 28
- **Best Foot:** RIGHT
- **Phone Number:** +358456789012
- **Positions Played:**
- **Player Position:** LEFT_BACK (Boundary case of single position)
- **Player Notes:** 0 entries
- **Participated Matches:** 1 match only
- **Player Name:** Keiko Tanaka
- **Age:** 24
- **Best Foot:** BOTH
- **Phone Number:** +819012345678
- **Positions Played:**
- **Player Position:** FORWARD
- **Player Notes:**
- **Note:** Requires attention to defensive skills.
- **Date:** 2023-09-01
- **Participated Matches:** 1 match only
### Match Player Statistics
- **Player (Match Player):** Helmi Korhonen
- **Booked:** True (Boundary case switching the booking flag)
- **Goals:** 0
- **Rating:** 6
- **Player (Match Player):** Keiko Tanaka
- **Booked:** True
- **Goals:** 1
- **Rating:** 7
### MatchPlayerPosition
- **Position Name:** LEFT_BACK
- **Jersey Number:** 3
- **Position Name:** FORWARD
- **Jersey Number:** 10
### Training Objectives
- **Objective:** Improve Endurance
- **Start Date:** 2023-09-01
- **End Date:** 2023-10-01
- **Success:** Yes
- **Assigned Player:** Helmi Korhonen
This instance focuses on minimal but essential item presence, such as a tournament initially without scheduled matches, training objectives for only one player, and using only two match events corresponding directly with the report scores. Structurally different boundary conditions like a home game match, tied scores leading to extra time, and a scenario where a player notes absence highlight different aspects of the model's constraints. The last output is partially incorrect:
temp.soil> !new Position('position54')
temp.soil> !position54.positionName := #LEFT_BACK
<input>:1:0: generation of expression `#LEFT_BACK' failed, with following error:
<input>:1:28: Undefined enumeration literal `LEFT_BACK'.
temp.soil> !new MatchPlayerPosition('position55')
temp.soil> !position55.positionName := #LEFT_BACK
<input>:1:0: generation of expression `#LEFT_BACK' failed, with following error:
<input>:1:28: Undefined enumeration literal `LEFT_BACK'.
Please provide the complete output corrected The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player22' 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 `teamT' 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('clubS')
!clubS.name := 'Northern Lights FC'
!clubS.homeGround := 'Aurora Borealis Field'
!clubS.chairman := 'Jorma Aalto'
!new Club('clubT')
!clubT.name := 'Coastal Hurricanes'
!clubT.homeGround := 'Pacific Breeze Stadium'
!clubT.chairman := 'Hana Nakamura'
!new Team('teamS')
!teamS.name := 'Aurora Stars'
!new Team('teamT')
!teamT.name := 'Ocean Waves'
!insert (clubS, teamS) into ClubTeam
!insert (clubT, teamT) into ClubTeam
!new Player('player21')
!player21.name := 'Helmi Korhonen'
!player21.age := 28
!player21.bestFoot := #RIGHT
!player21.phoneNumber := '+358456789012'
!new Player('player22')
!player22.name := 'Keiko Tanaka'
!player22.age := 24
!player22.bestFoot := #BOTH
!player22.phoneNumber := '+819012345678'
!insert (teamS, player21) into TeamPlayer
!insert (teamT, player22) into TeamPlayer
!new Position('position54')
!position54.positionName := #DEFENDER
!new Position('position47')
!position47.positionName := #FORWARD
!insert (player21, position54) into PlayerPositions
!insert (player22, position47) into PlayerPositions
!new TrainingSession('trainingSession15')
!trainingSession15.date := '2023-10-15'
!trainingSession15.location := 'Frozen Fjords Arena'
!trainingSession15.purpose := 'Adaptation to Arctic Conditions'
!insert (teamS, trainingSession15) into TeamTraining
!new TrainingSession('trainingSession16')
!trainingSession16.date := '2023-10-14'
!trainingSession16.location := 'Coastal Grounds'
!trainingSession16.purpose := 'Wind Resistance Training'
!insert (teamT, trainingSession16) into TeamTraining
!new TrainingNotes('trainingNote15')
!trainingNote15.note := 'Player agility in extreme cold needs improvement.'
!trainingNote15.date := '2023-10-15'
!insert (trainingSession15, trainingNote15) into TrainingTrainingNotes
!new TrainingNotes('trainingNote16')
!trainingNote16.note := 'Players adapted well to windy conditions.'
!trainingNote16.date := '2023-10-14'
!insert (trainingSession16, trainingNote16) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail7')
!trainingFail7.reason := 'Family emergency'
!insert (trainingFail7, player22) into FailedPlayer
!insert (trainingSession15, trainingFail7) into TrainingFailded
!new Competition('competition8')
!competition8.name := 'World Ends Meet Cup'
!competition8.type := 'Tournament'
!new Match('match10')
!match10.date := '2023-10-20'
!match10.homeAway := false
!insert (teamS, match10) into LocalMatch
!insert (teamT, match10) into VisitorMatch
!insert (competition8, match10) into CompetitionMatch
!new MatchReport('matchReport10')
!matchReport10.duration := 120
!matchReport10.scoreVisitor := 1
!matchReport10.scoreLocal := 1
!insert (match10, matchReport10) into MatchMatchReport
!new MatchEvent('matchEvent31')
!matchEvent31.eventType := #GOAL
!matchEvent31.time := 10
!new MatchEvent('matchEvent32')
!matchEvent32.eventType := #GOAL
!matchEvent32.time := 85
!insert (match10, matchEvent31) into MatchMatchEvent
!insert (match10, matchEvent32) into MatchMatchEvent
!new MatchNote('matchNote8')
!matchNote8.note := 'Match extended to extra time due to tied score.'
!matchNote8.date := '2023-10-20'
!insert (match10, matchNote8) into MatchMatchNote
!new MatchPlayer('matchPlayer17')
!matchPlayer17.booked := true
!matchPlayer17.goals := 0
!matchPlayer17.rating := 6
!new MatchPlayer('matchPlayer18')
!matchPlayer18.booked := true
!matchPlayer18.goals := 1
!matchPlayer18.rating := 7
!insert (player21, matchPlayer17) into PlayerMatch
!insert (player22, matchPlayer18) into PlayerMatch
!insert (match10, matchPlayer17) into MatchMatchPlayer
!insert (match10, matchPlayer18) into MatchMatchPlayer
!new MatchPlayerPosition('position55')
!position55.positionName := #DEFENDER
!position55.number := 3
!new MatchPlayerPosition('position56')
!position56.positionName := #FORWARD
!position56.number := 10
!insert (matchPlayer17, position55) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer18, position56) into MatchPlayerMatchPlayerPosition
!new TrainingObjective('trainingObjective15')
!trainingObjective15.areaToImprove := 'Improve Endurance'
!trainingObjective15.startDate := '2023-09-01'
!trainingObjective15.endDate := '2023-10-01'
!trainingObjective15.success := true
!new TrainingObjective('trainingObjective16')
!trainingObjective16.areaToImprove := 'Defensive Skills'
!trainingObjective16.startDate := '2023-09-01'
!trainingObjective16.endDate := '2023-10-01'
!trainingObjective16.success := false
!insert (trainingObjective15, player21) into TrainingObjectivePlayer
!insert (trainingObjective16, player22) into TrainingObjectivePlayer
!new PlayerNotes('playerNote8')
!playerNote8.note := 'Requires attention to defensive skills.'
!playerNote8.date := '2023-09-01'
!insert (player22, playerNote8) into PlayerPlayerNotes
</object_model> LLM as a Judge
Player 'player22' (who belongs to 'teamT') is recorded via 'trainingFail7' as failing to attend 'trainingSession15', which is a training session organized for a completely different team ('teamS'). In reality, a player cannot be expected to attend an opposing team's training session.
Metrics
Stats
Stats Breakdown of the total cost and elapsed time for generating the instances. - Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
- Elapsed Time = Console Time (ie. Processing Time + API Calls)
- Cost = (input tokens * input price) + (output tokens * output price)
| Total Cost | $0.39 |
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 | 0/116 |
| 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 | 94.9% |
| String Equals | 98.9% |
| String LV | 86.1% |
| 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 | 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 | 26/∞ |
| Attributes | 62/62 |
| Relationships | 28/∞ |
Viewer
!new Club('clubQ')
!clubQ.name := 'Tokyo Hawks'
!clubQ.homeGround := 'Saitama Super Arena'
!clubQ.chairman := 'Akira Tanaka'
!new Club('clubR')
!clubR.name := 'Toronto Maple Leaf FC'
!clubR.homeGround := 'Leaf Stadium'
!clubR.chairman := 'Michael Johnston'
!new Team('teamQ')
!teamQ.name := 'Tokyo Hawks A-Team'
!new Team('teamR')
!teamR.name := 'Toronto Maple Leaf FC Main Squad'
!insert (clubQ, teamQ) into ClubTeam
!insert (clubR, teamR) into ClubTeam
!new Player('player18')
!player18.name := 'Hiroshi Yamamoto'
!player18.age := 23
!player18.bestFoot := #RIGHT
!player18.phoneNumber := '+818012345678'
!new Player('player19')
!player19.name := 'Ethan Park'
!player19.age := 26
!player19.bestFoot := #LEFT
!player19.phoneNumber := '+14379876543'
!new Player('player20')
!player20.name := 'Yukio Sato'
!player20.age := 29
!player20.bestFoot := #RIGHT
!player20.phoneNumber := '+819876543210'
!insert (teamQ, player18) into TeamPlayer
!insert (teamR, player19) into TeamPlayer
!insert (teamQ, player20) into TeamPlayer
!new Position('position46')
!position46.positionName := #DEFENDER
!new Position('position47')
!position47.positionName := #FORWARD
!new Position('position50')
!position50.positionName := #GOALKEEPER
!insert (player18, position46) into PlayerPositions
!insert (player19, position47) into PlayerPositions
!insert (player20, position50) into PlayerPositions
!new Competition('competition7')
!competition7.name := 'International Friendly Cup'
!competition7.type := 'Friendly Match'
!new Match('match9')
!match9.date := '22-07-2023'
!match9.homeAway := false
!insert (teamR, match9) into LocalMatch
!insert (teamQ, match9) into VisitorMatch
!insert (competition7, match9) into CompetitionMatch
!new MatchReport('matchReport9')
!matchReport9.duration := 90
!matchReport9.scoreVisitor := 1
!matchReport9.scoreLocal := 1
!insert (match9, matchReport9) into MatchMatchReport
!new MatchPlayer('matchPlayer14')
!matchPlayer14.booked := false
!matchPlayer14.goals := 0
!matchPlayer14.rating := 7
!new MatchPlayer('matchPlayer15')
!matchPlayer15.booked := true
!matchPlayer15.goals := 1
!matchPlayer15.rating := 8
!new MatchPlayer('matchPlayer16')
!matchPlayer16.booked := false
!matchPlayer16.goals := 1
!matchPlayer16.rating := 7
!insert (player18, matchPlayer14) into PlayerMatch
!insert (player19, matchPlayer15) into PlayerMatch
!insert (player20, matchPlayer16) into PlayerMatch
!insert (match9, matchPlayer14) into MatchMatchPlayer
!insert (match9, matchPlayer15) into MatchMatchPlayer
!insert (match9, matchPlayer16) into MatchMatchPlayer
!new MatchPlayerPosition('position51')
!position51.positionName := #DEFENDER
!position51.number := 5
!new MatchPlayerPosition('position52')
!position52.positionName := #FORWARD
!position52.number := 9
!new MatchPlayerPosition('position53')
!position53.positionName := #FORWARD
!position53.number := 11
!insert (matchPlayer14, position51) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer15, position52) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer16, position53) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent29')
!matchEvent29.eventType := #GOAL
!matchEvent29.time := 34
!new MatchEvent('matchEvent30')
!matchEvent30.eventType := #GOAL
!matchEvent30.time := 77
!insert (match9, matchEvent29) into MatchMatchEvent
!insert (match9, matchEvent30) into MatchMatchEvent
!new MatchNote('matchNote7')
!matchNote7.note := 'The match was balanced with strong defense and rare scoring opportunities.'
!matchNote7.date := '22-07-2023'
!insert (match9, matchNote7) into MatchMatchNote
!new TrainingSession('trainingSession13')
!trainingSession13.date := '19-07-2023'
!trainingSession13.location := 'Saitama Super Arena Training Grounds'
!trainingSession13.purpose := 'Enhance the team’s defensive tactics in anticipation of high-pressure matches.'
!insert (teamQ, trainingSession13) into TeamTraining
!new TrainingSession('trainingSession14')
!trainingSession14.date := '20-07-2023'
!trainingSession14.location := 'Leaf Stadium Training Facilities'
!trainingSession14.purpose := 'Offensive strategy and precision practice.'
!insert (teamR, trainingSession14) into TeamTraining
!new TrainingNotes('trainingNote13')
!trainingNote13.note := 'Significant improvement in players’ spatial awareness and coordination.'
!trainingNote13.date := '19-07-2023'
!insert (trainingSession13, trainingNote13) into TrainingTrainingNotes
!new TrainingNotes('trainingNote14')
!trainingNote14.note := 'Offensive drills emphasized quick decision-making and shot accuracy.'
!trainingNote14.date := '20-07-2023'
!insert (trainingSession14, trainingNote14) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective13')
!trainingObjective13.areaToImprove := 'Defense Coordination'
!trainingObjective13.startDate := '10-07-2023'
!trainingObjective13.endDate := '20-07-2023'
!trainingObjective13.success := true
!new TrainingObjective('trainingObjective14')
!trainingObjective14.areaToImprove := 'Offensive Strategy'
!trainingObjective14.startDate := '10-07-2023'
!trainingObjective14.endDate := '20-07-2023'
!trainingObjective14.success := true
!insert (trainingObjective13, player18) into TrainingObjectivePlayer
!insert (trainingObjective14, player19) 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:
### International Friendly Showcase
#### Clubs
- **Club: Tokyo Hawks**
- `name`: Tokyo Hawks
- `homeGround`: Saitama Super Arena
- `chairman`: Akira Tanaka
- **Club: Toronto Maple Leaf FC**
- `name`: Toronto Maple Leaf FC
- `homeGround`: Leaf Stadium
- `chairman`: Michael Johnston
#### Teams
- **Team: Tokyo Hawks A-Team**
- `name`: Tokyo Hawks A-Team
- **Team: Toronto Maple Leaf FC Main Squad**
- `name`: Toronto Maple Leaf FC Main Squad
#### Players
- **Player: Hiroshi Yamamoto**
- `name`: Hiroshi Yamamoto
- `age`: 23
- `bestFoot`: Right
- `phoneNumber`: +818012345678
- **Player: Ethan Park**
- `name`: Ethan Park
- `age`: 26
- `bestFoot`: Left
- `phoneNumber`: +14379876543
- **Player: Yukio Sato**
- `name`: Yukio Sato
- `age`: 29
- `bestFoot`: Right
- `phoneNumber`: +819876543210
#### Positions
- **Position: Goalkeeper**
- `positionName`: Goalkeeper
- **Position: Defender**
- `positionName`: Defender
- **Position: Forward**
- `positionName`: Forward
#### Competitions
- **Competition: International Friendly Cup**
- `name`: International Friendly Cup
- `type`: Friendly Match
#### Matches
- **Match: Tokyo vs Toronto Clash**
- `date`: 22-07-2023
- `homeAway`: False
- **MatchReport: Tokyo vs Toronto Match Report**
- `duration`: 90
- `scoreVisitor`: 1
- `scoreLocal`: 1
#### MatchPlayers
- **MatchPlayer: Hiroshi Yamamoto in Tokyo vs Toronto**
- `booked`: False
- `goals`: 0
- `rating`: 7
- **MatchPlayer: Ethan Park in Tokyo vs Toronto**
- `booked`: True
- `goals`: 1
- `rating`: 8
- **MatchPlayer: Yukio Sato in Tokyo vs Toronto**
- `booked`: False
- `goals`: 1
- `rating`: 7
#### MatchPlayerPositions
- **MatchPlayerPosition: Hiroshi Yamamoto as Defender**
- `positionName`: Defender
- `number`: 5
- **MatchPlayerPosition: Ethan Park as Forward**
- `positionName`: Forward
- `number`: 9
- **MatchPlayerPosition: Yukio Sato as Forward**
- `positionName`: Forward
- `number`: 11
#### MatchEvents
- **MatchEvent: Goal by Ethan Park**
- `eventType`: GOAL
- `time`: 34
- **MatchEvent: Goal by Yukio Sato**
- `eventType`: GOAL
- `time`: 77
#### MatchNotes
- **MatchNote: Match Analysis**
- `note`: The match was balanced with strong defense and rare scoring opportunities.
- `date`: 22-07-2023
#### TrainingSessions
- **TrainingSession: Tactical Defense Drills**
- `date`: 19-07-2023
- `location`: Saitama Super Arena Training Grounds
- `purpose`: Enhance the team’s defensive tactics in anticipation of high-pressure matches.
#### TrainingNotes
- **TrainingNote: Defense Coordination Improvement**
- `note`: Significant improvement in players’ spatial awareness and coordination.
- `date`: 19-07-2023
#### TrainingObjectives
- **TrainingObjective: Improve Defensive Line Coordination**
- `areaToImprove`: Defense Coordination
- `startDate`: 10-07-2023
- `endDate`: 20-07-2023
- `success`: True
### Relationships and Integrity Constraints Fulfillment
1. **Club and Team Association**:
- "Tokyo Hawks" has "Tokyo Hawks A-Team".
- "Toronto Maple Leaf FC" has "Toronto Maple Leaf FC Main Squad".
2. **Team and Players**:
- "Tokyo Hawks A-Team" includes player "Hiroshi Yamamoto" and "Yukio Sato".
- "Toronto Maple Leaf FC Main Squad" includes player "Ethan Park".
3. **Competition and Match**:
- "International Friendly Cup" includes the "Tokyo vs Toronto Clash".
4. **Match and Match Events**:
- The "Tokyo vs Toronto Clash" presents events corresponding to the match report’s goals.
5. **Training and Notes**:
- “Tactical Defense Drills” session has training notes describing defensive improvements.
6. **Training Objectives**:
- The success of the training objective demonstrates improved defense.
7. **Non-Redundancy**:
- Each entity involved in distinct scenarios fulfills the structure and context requirements assuring there are no duplications from previous instances.
This instance illustrates a broader semantic and structural reach, contextualizing an international friendly match between culturally distinct teams, incorporating elements relevant to geography, national representation, and specific match elements that reflect cultural diversity and unique game conditions. The last output is partially incorrect:
checking structure...
Multiplicity constraint violation in association `TrainingObjectivePlayer':
Object `player19' 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 `player20' 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 `PlayerPositions':
Object `position45' of class `Position' is connected to 0 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `PlayerPositions':
Object `position47' of class `Position' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `TeamTraining':
Object `teamR' 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 `TrainingObjectivePlayer':
Object `trainingObjective14' 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 `PlayerPositions':
Object `position48' of class `Position' is connected to 2 objects of class `Player'
at association end `player' but the multiplicity is specified as `1'.
Multiplicity constraint violation in association `PlayerPositions':
Object `position49' of class `Position' 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('clubQ')
!clubQ.name := 'Tokyo Hawks'
!clubQ.homeGround := 'Saitama Super Arena'
!clubQ.chairman := 'Akira Tanaka'
!new Club('clubR')
!clubR.name := 'Toronto Maple Leaf FC'
!clubR.homeGround := 'Leaf Stadium'
!clubR.chairman := 'Michael Johnston'
!new Team('teamQ')
!teamQ.name := 'Tokyo Hawks A-Team'
!new Team('teamR')
!teamR.name := 'Toronto Maple Leaf FC Main Squad'
!insert (clubQ, teamQ) into ClubTeam
!insert (clubR, teamR) into ClubTeam
!new Player('player18')
!player18.name := 'Hiroshi Yamamoto'
!player18.age := 23
!player18.bestFoot := #RIGHT
!player18.phoneNumber := '+818012345678'
!new Player('player19')
!player19.name := 'Ethan Park'
!player19.age := 26
!player19.bestFoot := #LEFT
!player19.phoneNumber := '+14379876543'
!new Player('player20')
!player20.name := 'Yukio Sato'
!player20.age := 29
!player20.bestFoot := #RIGHT
!player20.phoneNumber := '+819876543210'
!insert (teamQ, player18) into TeamPlayer
!insert (teamR, player19) into TeamPlayer
!insert (teamQ, player20) into TeamPlayer
!new Position('position46')
!position46.positionName := #DEFENDER
!new Position('position47')
!position47.positionName := #FORWARD
!new Position('position50')
!position50.positionName := #GOALKEEPER
!insert (player18, position46) into PlayerPositions
!insert (player19, position47) into PlayerPositions
!insert (player20, position50) into PlayerPositions
!new Competition('competition7')
!competition7.name := 'International Friendly Cup'
!competition7.type := 'Friendly Match'
!new Match('match9')
!match9.date := '22-07-2023'
!match9.homeAway := false
!insert (teamR, match9) into LocalMatch
!insert (teamQ, match9) into VisitorMatch
!insert (competition7, match9) into CompetitionMatch
!new MatchReport('matchReport9')
!matchReport9.duration := 90
!matchReport9.scoreVisitor := 1
!matchReport9.scoreLocal := 1
!insert (match9, matchReport9) into MatchMatchReport
!new MatchPlayer('matchPlayer14')
!matchPlayer14.booked := false
!matchPlayer14.goals := 0
!matchPlayer14.rating := 7
!new MatchPlayer('matchPlayer15')
!matchPlayer15.booked := true
!matchPlayer15.goals := 1
!matchPlayer15.rating := 8
!new MatchPlayer('matchPlayer16')
!matchPlayer16.booked := false
!matchPlayer16.goals := 1
!matchPlayer16.rating := 7
!insert (player18, matchPlayer14) into PlayerMatch
!insert (player19, matchPlayer15) into PlayerMatch
!insert (player20, matchPlayer16) into PlayerMatch
!insert (match9, matchPlayer14) into MatchMatchPlayer
!insert (match9, matchPlayer15) into MatchMatchPlayer
!insert (match9, matchPlayer16) into MatchMatchPlayer
!new MatchPlayerPosition('position51')
!position51.positionName := #DEFENDER
!position51.number := 5
!new MatchPlayerPosition('position52')
!position52.positionName := #FORWARD
!position52.number := 9
!new MatchPlayerPosition('position53')
!position53.positionName := #FORWARD
!position53.number := 11
!insert (matchPlayer14, position51) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer15, position52) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer16, position53) into MatchPlayerMatchPlayerPosition
!new MatchEvent('matchEvent29')
!matchEvent29.eventType := #GOAL
!matchEvent29.time := 34
!new MatchEvent('matchEvent30')
!matchEvent30.eventType := #GOAL
!matchEvent30.time := 77
!insert (match9, matchEvent29) into MatchMatchEvent
!insert (match9, matchEvent30) into MatchMatchEvent
!new MatchNote('matchNote7')
!matchNote7.note := 'The match was balanced with strong defense and rare scoring opportunities.'
!matchNote7.date := '22-07-2023'
!insert (match9, matchNote7) into MatchMatchNote
!new TrainingSession('trainingSession13')
!trainingSession13.date := '19-07-2023'
!trainingSession13.location := 'Saitama Super Arena Training Grounds'
!trainingSession13.purpose := 'Enhance the team’s defensive tactics in anticipation of high-pressure matches.'
!insert (teamQ, trainingSession13) into TeamTraining
!new TrainingSession('trainingSession14')
!trainingSession14.date := '20-07-2023'
!trainingSession14.location := 'Leaf Stadium Training Facilities'
!trainingSession14.purpose := 'Offensive strategy and precision practice.'
!insert (teamR, trainingSession14) into TeamTraining
!new TrainingNotes('trainingNote13')
!trainingNote13.note := 'Significant improvement in players’ spatial awareness and coordination.'
!trainingNote13.date := '19-07-2023'
!insert (trainingSession13, trainingNote13) into TrainingTrainingNotes
!new TrainingNotes('trainingNote14')
!trainingNote14.note := 'Offensive drills emphasized quick decision-making and shot accuracy.'
!trainingNote14.date := '20-07-2023'
!insert (trainingSession14, trainingNote14) into TrainingTrainingNotes
!new TrainingObjective('trainingObjective13')
!trainingObjective13.areaToImprove := 'Defense Coordination'
!trainingObjective13.startDate := '10-07-2023'
!trainingObjective13.endDate := '20-07-2023'
!trainingObjective13.success := true
!new TrainingObjective('trainingObjective14')
!trainingObjective14.areaToImprove := 'Offensive Strategy'
!trainingObjective14.startDate := '10-07-2023'
!trainingObjective14.endDate := '20-07-2023'
!trainingObjective14.success := true
!insert (trainingObjective13, player18) into TrainingObjectivePlayer
!insert (trainingObjective14, player19) into TrainingObjectivePlayer
</object_model> LLM as a Judge
The object 'player20' is registered with a normal position of GOALKEEPER ('position50'), but in the match, they are assigned to play as a FORWARD ('position53') wearing number 11, and even score a goal ('matchPlayer16'). This is a nonsensical role contradiction in a real-world football context.
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 | $0.36 |
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 | 0/127 |
| 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 | 94.8% |
| String Equals | 98.5% |
| String LV | 85.8% |
| Shannon (Active) | 0.639 ± 0.453 |
| Shannon (All) | 0.457 ± 0.335 |
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 | 28/∞ |
| Attributes | 69/69 |
| Relationships | 30/∞ |
Viewer
!new Club('clubK')
!clubK.name := 'Lunar Legends FC'
!clubK.homeGround := 'Lunar Surface Stadium'
!clubK.chairman := 'Dr. Neil Armstrong'
!new Club('clubL')
!clubL.name := 'Moonlight Warriors'
!clubL.homeGround := 'Crater Field Arena'
!clubL.chairman := 'Ms. Valentina Tereshkova'
!new Team('teamK')
!teamK.name := 'Lunar Pioneers'
!new Team('teamL')
!teamL.name := 'Moonbeam Raiders'
!insert (clubK, teamK) into ClubTeam
!insert (clubL, teamL) into ClubTeam
!new Player('player11')
!player11.name := 'Stardust Walker'
!player11.age := 26
!player11.bestFoot := #RIGHT
!player11.phoneNumber := '+19876543210'
!new Player('player12')
!player12.name := 'Gravity Glide'
!player12.age := 30
!player12.bestFoot := #LEFT
!player12.phoneNumber := '+1029384756'
!insert (teamK, player11) into TeamPlayer
!insert (teamL, player12) into TeamPlayer
!new Position('position30')
!position30.positionName := #FORWARD
!new Position('position31')
!position31.positionName := #GOALKEEPER
!insert (player11, position30) into PlayerPositions
!insert (player11, position31) into PlayerPositions
!new Position('position32')
!position32.positionName := #DEFENDER
!new Position('position33')
!position33.positionName := #MIDFIELDER
!insert (player12, position32) into PlayerPositions
!insert (player12, position33) into PlayerPositions
!new Competition('competition5')
!competition5.name := 'Intergalactic Tournament'
!competition5.type := 'League'
!new Match('match6')
!match6.date := '31/08/2023'
!match6.homeAway := false
!insert (teamL, match6) into LocalMatch
!insert (teamK, match6) into VisitorMatch
!insert (competition5, match6) into CompetitionMatch
!new MatchReport('matchReport6')
!matchReport6.duration := 120
!matchReport6.scoreVisitor := 3
!matchReport6.scoreLocal := 3
!insert (match6, matchReport6) into MatchMatchReport
!new MatchEvent('matchEvent17')
!matchEvent17.eventType := #GOAL
!matchEvent17.time := 15
!new MatchEvent('matchEvent18')
!matchEvent18.eventType := #GOAL
!matchEvent18.time := 45
!new MatchEvent('matchEvent19')
!matchEvent19.eventType := #GOAL
!matchEvent19.time := 70
!new MatchEvent('matchEvent20')
!matchEvent20.eventType := #GOAL
!matchEvent20.time := 85
!new MatchEvent('matchEvent21')
!matchEvent21.eventType := #GOAL
!matchEvent21.time := 105
!new MatchEvent('matchEvent22')
!matchEvent22.eventType := #GOAL
!matchEvent22.time := 110
!insert (match6, matchEvent17) into MatchMatchEvent
!insert (match6, matchEvent18) into MatchMatchEvent
!insert (match6, matchEvent19) into MatchMatchEvent
!insert (match6, matchEvent20) into MatchMatchEvent
!insert (match6, matchEvent21) into MatchMatchEvent
!insert (match6, matchEvent22) into MatchMatchEvent
!new MatchPlayer('matchPlayer10')
!matchPlayer10.booked := false
!matchPlayer10.goals := 2
!matchPlayer10.rating := 9
!new MatchPlayer('matchPlayer11')
!matchPlayer11.booked := true
!matchPlayer11.goals := 1
!matchPlayer11.rating := 6
!insert (player11, matchPlayer10) into PlayerMatch
!insert (player12, matchPlayer11) into PlayerMatch
!insert (match6, matchPlayer10) into MatchMatchPlayer
!insert (match6, matchPlayer11) into MatchMatchPlayer
!new MatchPlayerPosition('position34')
!position34.positionName := #FORWARD
!position34.number := 7
!new MatchPlayerPosition('position35')
!position35.positionName := #DEFENDER
!position35.number := 4
!insert (matchPlayer10, position34) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer11, position35) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession8')
!trainingSession8.date := '28/08/2023'
!trainingSession8.location := 'Crater Field Arena'
!trainingSession8.purpose := 'High-Gravity Adaptation'
!insert (teamL, trainingSession8) into TeamTraining
!new TrainingSession('trainingSession9')
!trainingSession9.date := '29/08/2023'
!trainingSession9.location := 'Lunar Surface Stadium'
!trainingSession9.purpose := 'Low Light Dribbling Practice'
!insert (teamK, trainingSession9) into TeamTraining
!new TrainingNotes('trainingNote8')
!trainingNote8.note := 'Players adjusted well to slower ball speed on lunar surface.'
!trainingNote8.date := '28/08/2023'
!insert (trainingSession8, trainingNote8) into TrainingTrainingNotes
!new TrainingNotes('trainingNote9')
!trainingNote9.note := 'Practiced dribbling under low light conditions.'
!trainingNote9.date := '29/08/2023'
!insert (trainingSession9, trainingNote9) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail5')
!trainingFail5.reason := 'Meteor shower delayed transportation'
!insert (trainingFail5, player12) into FailedPlayer
!insert (trainingSession8, trainingFail5) into TrainingFailded
!new TrainingObjective('trainingObjective9')
!trainingObjective9.areaToImprove := 'Ball Control under High Gravity'
!trainingObjective9.startDate := '25/08/2023'
!trainingObjective9.endDate := '30/08/2023'
!trainingObjective9.success := false
!insert (trainingObjective9, player11) into TrainingObjectivePlayer
!new TrainingObjective('trainingObjective10')
!trainingObjective10.areaToImprove := 'Low Light Awareness'
!trainingObjective10.startDate := '25/08/2023'
!trainingObjective10.endDate := '30/08/2023'
!trainingObjective10.success := true
!insert (trainingObjective10, player12) into TrainingObjectivePlayer
!new PlayerNotes('playerNote4')
!playerNote4.note := 'Excellent agility when moving through uneven terrain.'
!playerNote4.date := '29/08/2023'
!insert (player11, playerNote4) into PlayerPlayerNotes
!new PlayerNotes('playerNote5')
!playerNote5.note := 'Effective in blocking under low light conditions.'
!playerNote5.date := '30/08/2023'
!insert (player12, playerNote5) 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: "Lunar Football Championship"
### Clubs
- **Lunar Legends FC**
- Name: Lunar Legends FC
- Home Ground: Lunar Surface Stadium
- Chairman: Dr. Neil Armstrong
- **Moonlight Warriors**
- Name: Moonlight Warriors
- Home Ground: Crater Field Arena
- Chairman: Ms. Valentina Tereshkova
### Teams
- **Lunar Pioneers**
- Part of: Lunar Legends FC
- **Moonbeam Raiders**
- Part of: Moonlight Warriors
### Competitions
- **Name**: Intergalactic Tournament
- Type: League
### Matches
- **Date**: 31/08/2023
- **HomeAway**: False (Moonbeam Raiders playing at Crater Field Arena)
- **Teams**: Moonbeam Raiders (local) vs. Lunar Pioneers (visitor)
- **Match Report**:
- Duration: 120 minutes (extra time included due to high gravity effects)
- Score Visitor: 3
- Score Local: 3
- Total Goals: 6 (3 from each side)
- **Match Events**:
- **GOAL**: Minute 15 - Lunar Pioneers
- **GOAL**: Minute 45 - Moonbeam Raiders
- **GOAL**: Minute 70 - Lunar Pioneers
- **GOAL**: Minute 85 - Moonbeam Raiders
- **GOAL**: Minute 105 - Lunar Pioneers
- **GOAL**: Minute 110 - Moonbeam Raiders
- **Match Players**:
- **Lunar Pioneers**:
- Player: **Stardust Walker**, Goals: 2, Rating: 9, Booked: False
- Position: **Striker**, Jersey Number: 7
- **Moonbeam Raiders**:
- Player: **Gravity Glide**, Goals: 1, Rating: 6, Booked: True
- Position: **Defender**, Jersey Number: 4
### Training Sessions
- **Session 1**
- Date: 28/08/2023
- Location: Crater Field Arena
- Purpose: High-Gravity Adaptation
- **Training Notes**:
- Note: "Players adjusted well to slower ball speed on lunar surface."
- Date: 28/08/2023
- **Failed To Attend**:
- Player: Gravity Glide - Reason: "Meteor shower delayed transportation"
- **Training Objectives**:
- Area To Improve: Ball Control under High Gravity
- Start Date: 25/08/2023
- End Date: 30/08/2023
- Success: False
- Assigned Players:
- **Stardust Walker** from Lunar Pioneers
### Players
- **Stardust Walker**
- Age: 26
- Best Foot: Right
- Phone Number: +19876543210
- **Positions**: Striker, Goalkeeper
- **Player Notes**:
- Note: "Excellent agility when moving through uneven terrain."
- Date: 29/08/2023
- **Gravity Glide**
- Age: 30
- Best Foot: Left
- Phone Number: +1029384756
- **Positions**: Defender, Midfielder
- **Player Notes**:
- Note: "Effective in blocking under low light conditions."
- Date: 30/08/2023
### Unusual Aspects:
- The match is set on the Moon with players adapting to unique conditions like high gravity and crater-filled environments.
- Extended match duration highlights the physical challenges faced by players in lunar conditions.
- Training sessions are focused on adapting sports techniques to extraterrestrial conditions, enhancing thematic diversity. The last output is partially incorrect:
temp.soil> !new Position('position30')
temp.soil> !position30.positionName := #STRIKER
<input>:1:0: generation of expression `#STRIKER' failed, with following error:
<input>:1:28: Undefined enumeration literal `STRIKER'.
temp.soil> !new MatchPlayerPosition('position34')
temp.soil> !position34.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 `player12' 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 `teamK' 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 `TrainingTrainingNotes':
Object `trainingSession9' of class `TrainingSession' is connected to 0 objects of class `TrainingNotes'
at association end `trainingNotes' 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('clubK')
!clubK.name := 'Lunar Legends FC'
!clubK.homeGround := 'Lunar Surface Stadium'
!clubK.chairman := 'Dr. Neil Armstrong'
!new Club('clubL')
!clubL.name := 'Moonlight Warriors'
!clubL.homeGround := 'Crater Field Arena'
!clubL.chairman := 'Ms. Valentina Tereshkova'
!new Team('teamK')
!teamK.name := 'Lunar Pioneers'
!new Team('teamL')
!teamL.name := 'Moonbeam Raiders'
!insert (clubK, teamK) into ClubTeam
!insert (clubL, teamL) into ClubTeam
!new Player('player11')
!player11.name := 'Stardust Walker'
!player11.age := 26
!player11.bestFoot := #RIGHT
!player11.phoneNumber := '+19876543210'
!new Player('player12')
!player12.name := 'Gravity Glide'
!player12.age := 30
!player12.bestFoot := #LEFT
!player12.phoneNumber := '+1029384756'
!insert (teamK, player11) into TeamPlayer
!insert (teamL, player12) into TeamPlayer
!new Position('position30')
!position30.positionName := #FORWARD
!new Position('position31')
!position31.positionName := #GOALKEEPER
!insert (player11, position30) into PlayerPositions
!insert (player11, position31) into PlayerPositions
!new Position('position32')
!position32.positionName := #DEFENDER
!new Position('position33')
!position33.positionName := #MIDFIELDER
!insert (player12, position32) into PlayerPositions
!insert (player12, position33) into PlayerPositions
!new Competition('competition5')
!competition5.name := 'Intergalactic Tournament'
!competition5.type := 'League'
!new Match('match6')
!match6.date := '31/08/2023'
!match6.homeAway := false
!insert (teamL, match6) into LocalMatch
!insert (teamK, match6) into VisitorMatch
!insert (competition5, match6) into CompetitionMatch
!new MatchReport('matchReport6')
!matchReport6.duration := 120
!matchReport6.scoreVisitor := 3
!matchReport6.scoreLocal := 3
!insert (match6, matchReport6) into MatchMatchReport
!new MatchEvent('matchEvent17')
!matchEvent17.eventType := #GOAL
!matchEvent17.time := 15
!new MatchEvent('matchEvent18')
!matchEvent18.eventType := #GOAL
!matchEvent18.time := 45
!new MatchEvent('matchEvent19')
!matchEvent19.eventType := #GOAL
!matchEvent19.time := 70
!new MatchEvent('matchEvent20')
!matchEvent20.eventType := #GOAL
!matchEvent20.time := 85
!new MatchEvent('matchEvent21')
!matchEvent21.eventType := #GOAL
!matchEvent21.time := 105
!new MatchEvent('matchEvent22')
!matchEvent22.eventType := #GOAL
!matchEvent22.time := 110
!insert (match6, matchEvent17) into MatchMatchEvent
!insert (match6, matchEvent18) into MatchMatchEvent
!insert (match6, matchEvent19) into MatchMatchEvent
!insert (match6, matchEvent20) into MatchMatchEvent
!insert (match6, matchEvent21) into MatchMatchEvent
!insert (match6, matchEvent22) into MatchMatchEvent
!new MatchPlayer('matchPlayer10')
!matchPlayer10.booked := false
!matchPlayer10.goals := 2
!matchPlayer10.rating := 9
!new MatchPlayer('matchPlayer11')
!matchPlayer11.booked := true
!matchPlayer11.goals := 1
!matchPlayer11.rating := 6
!insert (player11, matchPlayer10) into PlayerMatch
!insert (player12, matchPlayer11) into PlayerMatch
!insert (match6, matchPlayer10) into MatchMatchPlayer
!insert (match6, matchPlayer11) into MatchMatchPlayer
!new MatchPlayerPosition('position34')
!position34.positionName := #FORWARD
!position34.number := 7
!new MatchPlayerPosition('position35')
!position35.positionName := #DEFENDER
!position35.number := 4
!insert (matchPlayer10, position34) into MatchPlayerMatchPlayerPosition
!insert (matchPlayer11, position35) into MatchPlayerMatchPlayerPosition
!new TrainingSession('trainingSession8')
!trainingSession8.date := '28/08/2023'
!trainingSession8.location := 'Crater Field Arena'
!trainingSession8.purpose := 'High-Gravity Adaptation'
!insert (teamL, trainingSession8) into TeamTraining
!new TrainingSession('trainingSession9')
!trainingSession9.date := '29/08/2023'
!trainingSession9.location := 'Lunar Surface Stadium'
!trainingSession9.purpose := 'Low Light Dribbling Practice'
!insert (teamK, trainingSession9) into TeamTraining
!new TrainingNotes('trainingNote8')
!trainingNote8.note := 'Players adjusted well to slower ball speed on lunar surface.'
!trainingNote8.date := '28/08/2023'
!insert (trainingSession8, trainingNote8) into TrainingTrainingNotes
!new TrainingNotes('trainingNote9')
!trainingNote9.note := 'Practiced dribbling under low light conditions.'
!trainingNote9.date := '29/08/2023'
!insert (trainingSession9, trainingNote9) into TrainingTrainingNotes
!new TrainingFailedToAttend('trainingFail5')
!trainingFail5.reason := 'Meteor shower delayed transportation'
!insert (trainingFail5, player12) into FailedPlayer
!insert (trainingSession8, trainingFail5) into TrainingFailded
!new TrainingObjective('trainingObjective9')
!trainingObjective9.areaToImprove := 'Ball Control under High Gravity'
!trainingObjective9.startDate := '25/08/2023'
!trainingObjective9.endDate := '30/08/2023'
!trainingObjective9.success := false
!insert (trainingObjective9, player11) into TrainingObjectivePlayer
!new TrainingObjective('trainingObjective10')
!trainingObjective10.areaToImprove := 'Low Light Awareness'
!trainingObjective10.startDate := '25/08/2023'
!trainingObjective10.endDate := '30/08/2023'
!trainingObjective10.success := true
!insert (trainingObjective10, player12) into TrainingObjectivePlayer
!new PlayerNotes('playerNote4')
!playerNote4.note := 'Excellent agility when moving through uneven terrain.'
!playerNote4.date := '29/08/2023'
!insert (player11, playerNote4) into PlayerPlayerNotes
!new PlayerNotes('playerNote5')
!playerNote5.note := 'Effective in blocking under low light conditions.'
!playerNote5.date := '30/08/2023'
!insert (player12, playerNote5) into PlayerPlayerNotes
</object_model> LLM as a Judge
The object model portrays a science-fiction scenario rather than real-world football. Elements such as clubs based on the moon ("Lunar Surface Stadium"), "High-Gravity" training, intergalactic tournaments, a player missing training due to a "meteor shower", and having deceased astronaut Neil Armstrong as a club chairman in 2023 directly contradict real-world physical and historical facts.
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 | $0.35 |
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 | 0/138 |
| Multiplicities | 0/34 |
| 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 | 98.4% |
| String LV | 84.7% |
| Shannon (Active) | 0.667 ± 0.471 |
| Shannon (All) | 0.544 ± 0.413 |
Coverage
Model Coverage Measures the breadth of the instantiation. It answers: "How much of the structural blueprint (the model) was used?" - Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
- Classes = Total Unique Classes instantiated (!new) in the .soil / Total Number of classes (class) in the model .use
- Attributes = Total Unique Attributes instantiated (!Class.Attribute or !set) in the .soil / Total Number of attributes (attributes) in the model .use
- Relationships = Total Unique Relationships instantiated (!insert) in the .soil / Total Number of relationships (association, composition, aggregation) in the model .use
| Classes | 93.8% |
| Attributes | 94.6% |
| Relationships | 94.4% |
Uncovered Items 4
Instantiation
Instance Instantiation Measures the depth or density of the data. It answers: "Of the objects the LLM decided to create, how many of their available 'slots' did it fill?" - Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
- Classes = Total Number of classes (!new) in the instance / Total possible that could have been instantiated (infinity)
- Attributes = Total Number of attributes (!Class.Attribute or !set) in the instance / Total possible that could have been instantiated (sum(number of classes instantiated of that type * Class.Attributes))
- Relationships = Total Number of relationships (!insert) in the instance / Total possible that could have been instantiated (infinity)
| Classes | 32/∞ |
| Attributes | 72/72 |
| Relationships | 34/∞ |
Viewer
!new Club('clubO')
!clubO.name := 'Bangkok Warriors FC'
!clubO.homeGround := 'Warrior Stadium, Bangkok'
!clubO.chairman := 'Somchai Thanakorn'
!new Club('clubP')
!clubP.name := 'Kuala Lumpur Panthers FC'
!clubP.homeGround := 'Panther Den, Kuala Lumpur'
!clubP.chairman := 'Fatimah Razak'
!new Team('teamO')
!teamO.name := 'Bangkok Warriors Juniors'
!new Team('teamP')
!teamP.name := 'KL Panther Cubs'
!insert (clubO, teamO) into ClubTeam
!insert (clubP, teamP) into ClubTeam
!new Player('player15')
!player15.name := 'Aran Kanchana'
!player15.age := 19
!player15.bestFoot := #RIGHT
!player15.phoneNumber := '+66 812 345 678'
!new Position('position40')
!position40.positionName := #MIDFIELDER
!new Position('position41')
!position41.positionName := #FORWARD
!new Position('position42')
!position42.positionName := #GOALKEEPER
!insert (player15, position40) into PlayerPositions
!insert (player15, position41) into PlayerPositions
!insert (player15, position42) into PlayerPositions
!new Player('player16')
!player16.name := 'Hana Abdullah'
!player16.age := 22
!player16.bestFoot := #LEFT
!player16.phoneNumber := '+60 176 543 210'
!new Position('position43')
!position43.positionName := #MIDFIELDER
!insert (player16, position43) into PlayerPositions
!new Player('player17')
!player17.name := 'Wanchai Siripong'
!player17.age := 18
!player17.bestFoot := #BOTH
!player17.phoneNumber := '+66 911 223 334'
!new Position('position44')
!position44.positionName := #DEFENDER
!insert (player17, position40) into PlayerPositions
!insert (player17, position41) into PlayerPositions
!insert (player17, position44) into PlayerPositions
!insert (teamO, player15) into TeamPlayer
!insert (teamP, player16) into TeamPlayer
!insert (teamO, player17) into TeamPlayer
!new Match('match8')
!match8.date := '20th November 2023'
!match8.homeAway := true
!insert (teamO, match8) into LocalMatch
!insert (teamP, match8) into VisitorMatch
!new MatchReport('matchReport8')
!matchReport8.duration := 90
!matchReport8.scoreVisitor := 3
!matchReport8.scoreLocal := 3
!insert (match8, matchReport8) into MatchMatchReport
!new MatchEvent('matchEvent26')
!matchEvent26.eventType := #GOAL
!matchEvent26.time := 15
!new MatchEvent('matchEvent27')
!matchEvent27.eventType := #GOAL
!matchEvent27.time := 60
!new MatchEvent('matchEvent28')
!matchEvent28.eventType := #GOAL
!matchEvent28.time := 89
!insert (match8, matchEvent26) into MatchMatchEvent
!insert (match8, matchEvent27) into MatchMatchEvent
!insert (match8, matchEvent28) into MatchMatchEvent
!new MatchPlayer('matchPlayer14')
!matchPlayer14.booked := false
!matchPlayer14.goals := 0
!matchPlayer14.rating := 9
!new MatchPlayer('matchPlayer15')
!matchPlayer15.booked := true
!matchPlayer15.goals := 1
!matchPlayer15.rating := 7
!new MatchPlayer('matchPlayer16')
!matchPlayer16.booked := false
!matchPlayer16.goals := 2
!matchPlayer16.rating := 8
!insert (player15, matchPlayer14) into PlayerMatch
!insert (player16, matchPlayer15) into PlayerMatch
!insert (player17, matchPlayer16) into PlayerMatch
!insert (match8, matchPlayer14) into MatchMatchPlayer
!insert (match8, matchPlayer15) into MatchMatchPlayer
!insert (match8, matchPlayer16) into MatchMatchPlayer
!new MatchNote('matchNote6')
!matchNote6.note := 'The match was characterized by repeated defensive and offensive exchanges, each team giving their best under strategic constraints.'
!matchNote6.date := '21st November 2023'
!insert (match8, matchNote6) into MatchMatchNote
!new TrainingSession('trainingSession12')
!trainingSession12.date := '22nd November 2023'
!trainingSession12.location := 'Panther Den Practice Field'
!trainingSession12.purpose := 'Strategic alignment and team cohesion exercises'
!insert (teamP, trainingSession12) into TeamTraining
!new TrainingNotes('trainingNote12')
!trainingNote12.note := 'Discrepancies in player assignments due to fixture clashes resulted in training downtime.'
!trainingNote12.date := '22nd November 2023'
!insert (trainingSession12, trainingNote12) into TrainingTrainingNotes model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) You are tasked with analyzing conceptual models represented as class diagrams and expressed in the UML-based specification environment using its native syntax. You must adhere to the following requirements: - Use very clear language. - Do not overexplain, be concise. - Multiplicities must be very clear and easy to understand. You should follow the structure and requirements below: ## Description Start by explaining the overall structure and purpose of the model. ### Components Break down the components of the model (i.e., classes and attributes), describing each, their type and purpose. ## Relationships Describe the relationships between the components of the model, dependencies and multiplicities (i.e., minimum and maximum number of instances of one class that can be associated with instances of another class). Describe the multiplicities at both ends of each association. ## Invariants Define the invariants that apply to the model (i.e., those constraints that must be fulfilled). Your task is to generate a complete and diverse instance, in plain English, for a given category and based on a provided conceptual model description. The instance must adhere to these requirements: - Be self-contained: Include all required attributes, relationships, and related entities in full detail. - Conform to the model: Fulfill the constraints, multiplicities, relationships, and attributes defined in the class diagram model. - Understand the context: Ensure that its attributes and relationships are relevant. - Avoid duplication of instances: Take into consideration those instances previously built to avoid redundancy. - Semantic diversity: From a semantic point of view, incorporate varied scenarios, including regional, linguistic, or cultural differences. - Structural diversity: Include instances with different numbers of elements, different numbers of relationships and complexity, and create varied examples by changing entity attributes. You are tasked with creating instances of a conceptual model in the UML-based Specification Environment (USE). You will receive: 1. The UML class diagram that the instance follows. 2. A sample syntax of instances creation. 3. A description of the instance that needs to be created. Your goal is to generate these instances based on the provided description, adhering strictly to these requirements: - The output must be in plain text, with no additional comments, descriptions, or explanations. - Ensure that the created instance adheres to the provided description. - Follow the syntax sample provided, without deviation. - Take into account previously created instances to avoid using duplicate naming. <role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).
Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>
<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).
Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>
<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>
<instructions>
Follow this thinking process strictly before generating the final output:
1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
- Apply "Common Sense Knowledge" to the attribute values.
- Check cardinality and relationship logic beyond simple OCL constraints.
- Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>
<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>
<output_format>
Structure your response exactly as follows:
**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>
<examples>
Example 1:
Input:
<domain_model>
class Person
attributes
age: Integer
end
class Pet
attributes
name: String
end
association Ownership between
Person [1] role owner
Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>
Output:
**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.
Example 2:
Input:
<domain_model>
class Car
attributes
brand: String
end
class Person
attributes
name: String
end
association Ownership between
Person [1] role owner
Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>
Output:
**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.
Example 3:
Input:
<domain_model>
class Component
attributes
setting_val: Integer
config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>
Output:
**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.
</examples> Analyze the following UML class diagram:
model Football
enum EventType {
GOAL,
FOUL,
OFFSIDE,
CORNER,
PENALTY
}
enum BestFoot {
LEFT,
RIGHT,
BOTH
}
enum PlayerPosition {
GOALKEEPER,
DEFENDER,
MIDFIELDER,
FORWARD
}
class Club
attributes
name : String
homeGround : String
chairman : String
end
class Team
attributes
name : String
end
class Competition
attributes
name : String
type : String
end
class TrainingSession
attributes
date : String
location : String
purpose : String
end
class TrainingNotes
attributes
note : String
date : String
end
class MatchEvent
attributes
eventType : EventType
time : Integer
end
class Match
attributes
date : String
homeAway : Boolean
end
class TrainingFailedToAttend
attributes
reason : String
end
class Player
attributes
name : String
age : Integer
bestFoot : BestFoot
phoneNumber : String
end
class MatchReport
attributes
duration : Integer
scoreVisitor : Integer
scoreLocal : Integer
end
class MatchNote
attributes
note : String
date : String
end
class TrainingObjective
attributes
areaToImprove : String
startDate : String
endDate : String
success : Boolean
end
class Position
attributes
positionName : PlayerPosition
end
class PlayerNotes
attributes
note : String
date : String
end
class MatchPlayer
attributes
booked : Boolean
goals : Integer
rating : Integer
end
class MatchPlayerPosition
attributes
positionName : PlayerPosition
number : Integer
end
association ClubTeam between
Club [1]
Team [1..*]
end
association TeamTraining between
Team [1]
TrainingSession [1..*]
end
association CompetitionMatch between
Competition [1]
Match [1..*]
end
association TeamPlayer between
Team [1]
Player [1..*]
end
association TrainingTrainingNotes between
TrainingSession [1]
TrainingNotes [1..*]
end
association TrainingFailded between
TrainingSession [1]
TrainingFailedToAttend [0..*]
end
association FailedPlayer between
TrainingFailedToAttend [0..*]
Player [1]
end
association TrainingObjectivePlayer between
TrainingObjective [1..*]
Player [1]
end
association PlayerPositions between
Player [1]
Position [1..3]
end
association PlayerPlayerNotes between
Player [1]
PlayerNotes [0..*]
end
association PlayerMatch between
Player [1]
MatchPlayer [0..*]
end
association MatchMatchReport between
Match [1]
MatchReport [1]
end
association MatchPlayerMatchPlayerPosition between
MatchPlayer [1]
MatchPlayerPosition [1]
end
association MatchMatchPlayer between
Match [1]
MatchPlayer [1..*]
end
association MatchMatchEvent between
Match [1]
MatchEvent [0..*]
end
association MatchMatchNote between
Match [1]
MatchNote [0..*]
end
association LocalMatch between
Team [1] role local
Match [0..1] role localMatch
end
association VisitorMatch between
Team [1] role visitor
Match [0..1] role visitorMatch
end
constraints
context Match inv DifferentTeams:
self.local <> self.visitor
context Match inv TeamsFromDifferentClubs:
self.local.club <> self.visitor.club
context MatchReport inv PositiveScore:
self.scoreVisitor >= 0 and self.scoreLocal >= 0
context MatchReport inv SumOfScoresEqualsGoals:
self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal) For the same category and model description, generate another instance that is structurally and semantically different from the previous ones Continue with the following description, creating the instance according to the syntax example and this specification:
### Instance Description:
In the thriving football culture of Southeast Asia, a vibrant match unfolds involving two adept clubs, bringing together players with unique talents and a challenging competition setup. This instance aims to shed light on some systemic intricacies faced due to multiple teams under one umbrella organization, highlighting an overconstraint detection scenario.
**Clubs:**
1. **Club A**
- `name`: Bangkok Warriors FC
- `homeGround`: Warrior Stadium, Bangkok
- `chairman`: Somchai Thanakorn
2. **Club B**
- `name`: Kuala Lumpur Panthers FC
- `homeGround`: Panther Den, Kuala Lumpur
- `chairman`: Fatimah Razak
**Teams:**
- **Team A (Belonging to Bangkok Warriors FC)**
- `name`: Bangkok Warriors Juniors
- **Team B (Belonging to Kuala Lumpur Panthers FC)**
- `name`: KL Panther Cubs
**Players:**
1. **Player 1** (Belonging to Bangkok Warriors Juniors)
- `name`: Aran Kanchana
- `age`: 19
- `bestFoot`: RIGHT
- `phoneNumber`: +66 812 345 678
- Positions:
- Midfielder
- Forward
- Goalkeeper
2. **Player 2** (Belonging to KL Panther Cubs)
- `name`: Hana Abdullah
- `age`: 22
- `bestFoot`: LEFT
- `phoneNumber`: +60 176 543 210
- Positions:
- Midfielder
3. **Player 3** (Belonging to Bangkok Warriors Juniors, illustrating over-assignment scenario)
- `name`: Wanchai Siripong
- `age`: 18
- `bestFoot`: BOTH
- `phoneNumber`: +66 911 223 334
- Positions:
- Defender
- Midfielder
- Forward
**Match:**
- **Date**: 20th November 2023
- **homeAway**: TRUE (A home game for Bangkok Warriors Juniors but mistakenly considered the same for KL Panther Cubs)
- Note: This overlapping assignment goes against model constraints for match specificity.
**MatchReport:**
- `duration`: 90 minutes
- `scoreVisitor`: 3
- `scoreLocal`: 3
**MatchPlayer:**
- **Player 1 Performance**
- `booked`: FALSE
- `goals`: 0
- `rating`: 9
- **Player 2 Performance**
- `booked`: TRUE
- `goals`: 1
- `rating`: 7
- **Player 3 Performance**
- `booked`: FALSE
- `goals`: 2
- `rating`: 8
**MatchEvent:**
1. **1st Event**
- `eventType`: GOAL
- `time`: 15
2. **2nd Event**
- `eventType`: GOAL
- `time`: 60
3. **3rd Event**
- `eventType`: GOAL
- `time`: 89
**MatchNote:**
- `note`: The match was characterized by repeated defensive and offensive exchanges, each team giving their best under strategic constraints.
- `date`: 21st November 2023
**TrainingSession:** (Event causing scheduling conflicts, supplementary for context)
- `date`: 22nd November 2023
- `location`: Panther Den Practice Field
- `purpose`: Strategic alignment and team cohesion exercises
**TrainingNotes:**
- `note`: Discrepancies in player assignments due to fixture clashes resulted in training downtime.
### Constraint Violations Highlighted:
1. **DifferentTeams Constraint**: This instance again highlights a breach with match setups where both teams have inadvertently been given a home priority, violating the invariant of teams not being assigned dual roles in a single engagement.
2. **Player Position Over-assignment Issue**: Additionally, Player 3 has been assigned three different roles, emphasizing a scenario with over-expanded player role multiplicity—testing limits on practical deployment and realistic gameplay.
This detailed instance showcases a structurally diverse setup with cross-border cultural contexts, demonstrating challenges that arise from oppressively strict multiplayer and event allocation constraints in a global and dynamic football ecosystem. <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('clubO')
!clubO.name := 'Bangkok Warriors FC'
!clubO.homeGround := 'Warrior Stadium, Bangkok'
!clubO.chairman := 'Somchai Thanakorn'
!new Club('clubP')
!clubP.name := 'Kuala Lumpur Panthers FC'
!clubP.homeGround := 'Panther Den, Kuala Lumpur'
!clubP.chairman := 'Fatimah Razak'
!new Team('teamO')
!teamO.name := 'Bangkok Warriors Juniors'
!new Team('teamP')
!teamP.name := 'KL Panther Cubs'
!insert (clubO, teamO) into ClubTeam
!insert (clubP, teamP) into ClubTeam
!new Player('player15')
!player15.name := 'Aran Kanchana'
!player15.age := 19
!player15.bestFoot := #RIGHT
!player15.phoneNumber := '+66 812 345 678'
!new Position('position40')
!position40.positionName := #MIDFIELDER
!new Position('position41')
!position41.positionName := #FORWARD
!new Position('position42')
!position42.positionName := #GOALKEEPER
!insert (player15, position40) into PlayerPositions
!insert (player15, position41) into PlayerPositions
!insert (player15, position42) into PlayerPositions
!new Player('player16')
!player16.name := 'Hana Abdullah'
!player16.age := 22
!player16.bestFoot := #LEFT
!player16.phoneNumber := '+60 176 543 210'
!new Position('position43')
!position43.positionName := #MIDFIELDER
!insert (player16, position43) into PlayerPositions
!new Player('player17')
!player17.name := 'Wanchai Siripong'
!player17.age := 18
!player17.bestFoot := #BOTH
!player17.phoneNumber := '+66 911 223 334'
!new Position('position44')
!position44.positionName := #DEFENDER
!insert (player17, position40) into PlayerPositions
!insert (player17, position41) into PlayerPositions
!insert (player17, position44) into PlayerPositions
!insert (teamO, player15) into TeamPlayer
!insert (teamP, player16) into TeamPlayer
!insert (teamO, player17) into TeamPlayer
!new Match('match8')
!match8.date := '20th November 2023'
!match8.homeAway := true
!insert (teamO, match8) into LocalMatch
!insert (teamP, match8) into VisitorMatch
!new MatchReport('matchReport8')
!matchReport8.duration := 90
!matchReport8.scoreVisitor := 3
!matchReport8.scoreLocal := 3
!insert (match8, matchReport8) into MatchMatchReport
!new MatchEvent('matchEvent26')
!matchEvent26.eventType := #GOAL
!matchEvent26.time := 15
!new MatchEvent('matchEvent27')
!matchEvent27.eventType := #GOAL
!matchEvent27.time := 60
!new MatchEvent('matchEvent28')
!matchEvent28.eventType := #GOAL
!matchEvent28.time := 89
!insert (match8, matchEvent26) into MatchMatchEvent
!insert (match8, matchEvent27) into MatchMatchEvent
!insert (match8, matchEvent28) into MatchMatchEvent
!new MatchPlayer('matchPlayer14')
!matchPlayer14.booked := false
!matchPlayer14.goals := 0
!matchPlayer14.rating := 9
!new MatchPlayer('matchPlayer15')
!matchPlayer15.booked := true
!matchPlayer15.goals := 1
!matchPlayer15.rating := 7
!new MatchPlayer('matchPlayer16')
!matchPlayer16.booked := false
!matchPlayer16.goals := 2
!matchPlayer16.rating := 8
!insert (player15, matchPlayer14) into PlayerMatch
!insert (player16, matchPlayer15) into PlayerMatch
!insert (player17, matchPlayer16) into PlayerMatch
!insert (match8, matchPlayer14) into MatchMatchPlayer
!insert (match8, matchPlayer15) into MatchMatchPlayer
!insert (match8, matchPlayer16) into MatchMatchPlayer
!new MatchNote('matchNote6')
!matchNote6.note := 'The match was characterized by repeated defensive and offensive exchanges, each team giving their best under strategic constraints.'
!matchNote6.date := '21st November 2023'
!insert (match8, matchNote6) into MatchMatchNote
!new TrainingSession('trainingSession12')
!trainingSession12.date := '22nd November 2023'
!trainingSession12.location := 'Panther Den Practice Field'
!trainingSession12.purpose := 'Strategic alignment and team cohesion exercises'
!insert (teamP, trainingSession12) into TeamTraining
!new TrainingNotes('trainingNote12')
!trainingNote12.note := 'Discrepancies in player assignments due to fixture clashes resulted in training downtime.'
!trainingNote12.date := '22nd November 2023'
!insert (trainingSession12, trainingNote12) into TrainingTrainingNotes
</object_model> LLM as a Judge
The match report states a final score of 3-3 (6 total goals), but there are only 3 match events of type GOAL created and linked to the match, creating a mathematical contradiction between the match score and the recorded goal events.
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 | $0.12 |
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 | 0/102 |
| Multiplicities | 10/27 |
| 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 | 99.1% |
| String Equals | 99.6% |
| String LV | 84.7% |
| Shannon (Active) | 0.654 ± 0.462 |
| Shannon (All) | 0.654 ± 0.462 |
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 | 68.8% |
| Attributes | 70.3% |
| Relationships | 66.7% |
Uncovered Items 22
Show all 11 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 | 52/52 |
| Relationships | 27/∞ |