Football / gen30

Viewer
!new Club('club59')
!club59.name := 'Golden Griffins'
!club59.homeGround := 'Griffin Lair'
!club59.chairman := 'Gordon Gold'

!new Club('club60')
!club60.name := 'Sapphire Serpents'
!club60.homeGround := 'Hydra Dome'
!club60.chairman := 'Serena Blue'

!new Team('team59')
!team59.name := 'Griffin Gliders'
!insert (club59, team59) into ClubTeam

!new Team('team60')
!team60.name := 'Serpent Slayers'
!insert (club60, team60) into ClubTeam

!new Competition('mythicBattle')
!mythicBattle.name := 'Mythic Battle'
!mythicBattle.type := 'League'

!new Match('match30')
!match30.date := '2035-04-15'
!match30.homeAway := true
!insert (mythicBattle, match30) into CompetitionMatch
!insert (team59, match30) into LocalMatch
!insert (team60, match30) into VisitorMatch

!new MatchReport('report30')
!report30.duration := 90
!report30.scoreVisitor := 2
!report30.scoreLocal := 3
!insert (match30, report30) into MatchMatchReport

!new Player('player59')
!player59.name := 'Aria Gold'
!player59.age := 28
!player59.bestFoot := #RIGHT
!player59.phoneNumber := '8675432109'
!insert (team59, player59) into TeamPlayer

!new Player('player60')
!player60.name := 'Navin Blue'
!player60.age := 27
!player60.bestFoot := #LEFT
!player60.phoneNumber := '9765432108'
!insert (team60, player60) into TeamPlayer

!new Position('position59')
!position59.positionName := #FORWARD
!insert (player59, position59) into PlayerPositions

!new Position('position60')
!position60.positionName := #MIDFIELDER
!insert (player60, position60) into PlayerPositions

!new MatchPlayer('matchPlayer59')
!matchPlayer59.booked := false
!matchPlayer59.goals := 2
!matchPlayer59.rating := 9
!insert (player59, matchPlayer59) into PlayerMatch
!insert (match30, matchPlayer59) into MatchMatchPlayer

!new MatchPlayer('matchPlayer60')
!matchPlayer60.booked := true
!matchPlayer60.goals := 1
!matchPlayer60.rating := 8
!insert (player60, matchPlayer60) into PlayerMatch
!insert (match30, matchPlayer60) into MatchMatchPlayer

!new MatchPlayerPosition('matchPlayerPosition59')
!matchPlayerPosition59.positionName := #FORWARD
!matchPlayerPosition59.number := 10
!insert (matchPlayer59, matchPlayerPosition59) into MatchPlayerMatchPlayerPosition

!new MatchPlayerPosition('matchPlayerPosition60')
!matchPlayerPosition60.positionName := #MIDFIELDER
!matchPlayerPosition60.number := 6
!insert (matchPlayer60, matchPlayerPosition60) into MatchPlayerMatchPlayerPosition

!new MatchEvent('event120')
!event120.eventType := #GOAL
!event120.time := 16
!insert (match30, event120) into MatchMatchEvent

!new MatchEvent('event121')
!event121.eventType := #GOAL
!event121.time := 40
!insert (match30, event121) into MatchMatchEvent

!new MatchEvent('event122')
!event122.eventType := #GOAL
!event122.time := 67
!insert (match30, event122) into MatchMatchEvent

!new MatchEvent('event123')
!event123.eventType := #GOAL
!event123.time := 74
!insert (match30, event123) into MatchMatchEvent

!new MatchEvent('event124')
!event124.eventType := #GOAL
!event124.time := 89
!insert (match30, event124) into MatchMatchEvent

!new TrainingSession('training59')
!training59.date := '2035-03-01'
!training59.location := 'Golden Grounds'
!training59.purpose := 'Offensive Strategies'
!insert (team59, training59) into TeamTraining

!new TrainingSession('training60')
!training60.date := '2035-03-10'
!training60.location := 'Serpent Nest'
!training60.purpose := 'Defensive Coordination'
!insert (team60, training60) into TeamTraining

!new TrainingNotes('trainingNote59')
!trainingNote59.note := 'Focused on high-pressure attack formations'
!trainingNote59.date := '2035-03-01'
!insert (training59, trainingNote59) into TrainingTrainingNotes

!new TrainingNotes('trainingNote60')
!trainingNote60.note := 'Strengthened defensive partnerships and transitions'
!trainingNote60.date := '2035-03-10'
!insert (training60, trainingNote60) into TrainingTrainingNotes

!new TrainingObjective('objective59')
!objective59.areaToImprove := 'High Tempo Control'
!objective59.startDate := '2035-01-01'
!objective59.endDate := '2035-04-01'
!objective59.success := true
!insert (objective59, player59) into TrainingObjectivePlayer

!new TrainingObjective('objective60')
!objective60.areaToImprove := 'Ball Interception'
!objective60.startDate := '2035-01-15'
!objective60.endDate := '2035-04-15'
!objective60.success := false
!insert (objective60, player60) into TrainingObjectivePlayer
model Football

enum EventType {
    GOAL,
    FOUL,
    OFFSIDE,
    CORNER,
    PENALTY
}

enum BestFoot {
    LEFT,
    RIGHT,
    BOTH
}

enum PlayerPosition {
    GOALKEEPER,
    DEFENDER,
    MIDFIELDER,
    FORWARD
}

class Club
attributes
    name : String
    homeGround : String
    chairman : String
end

class Team
attributes
    name : String
end

class Competition
attributes
    name : String
    type : String
end

class TrainingSession
attributes
	date : String
	location : String
	purpose : String
end

class TrainingNotes
attributes
	note : String
	date : String
end

class MatchEvent
attributes
	eventType : EventType
    time : Integer
end

class Match
attributes
    date : String
    homeAway : Boolean
end

class TrainingFailedToAttend
attributes
	reason : String
end

class Player
attributes
	name : String
    age : Integer
    bestFoot : BestFoot
    phoneNumber : String
end

class MatchReport
attributes
	duration : Integer
    scoreVisitor : Integer
    scoreLocal : Integer
end

class MatchNote
attributes
	note : String
	date : String
end

class TrainingObjective
attributes
	areaToImprove : String
    startDate : String
	endDate : String
    success : Boolean
end

class Position
attributes
    positionName : PlayerPosition
end

class PlayerNotes
attributes
    note : String
    date : String
end

class MatchPlayer
attributes
	booked : Boolean
    goals : Integer
    rating : Integer
end

class MatchPlayerPosition
attributes
    positionName : PlayerPosition
    number : Integer
end

association ClubTeam between
    Club [1]
    Team [1..*]
end

association TeamTraining between
    Team [1]
    TrainingSession [1..*]
end

association CompetitionMatch between
    Competition [1]
    Match [1..*]
end

association TeamPlayer between
    Team [1]
    Player [1..*]
end

association TrainingTrainingNotes between
    TrainingSession [1]
    TrainingNotes [1..*]
end

association TrainingFailded between
    TrainingSession [1]
    TrainingFailedToAttend [0..*]
end

association FailedPlayer between
    TrainingFailedToAttend [0..*]
    Player [1]
end

association TrainingObjectivePlayer between
    TrainingObjective [1..*]
    Player [1]
end

association PlayerPositions between
    Player [1]
    Position [1..3]
end

association PlayerPlayerNotes between
    Player [1]
    PlayerNotes [0..*]
end

association PlayerMatch between
    Player [1]
    MatchPlayer [0..*]
end

association MatchMatchReport between
    Match [1]
    MatchReport [1]
end

association MatchPlayerMatchPlayerPosition between
    MatchPlayer [1]
    MatchPlayerPosition [1]
end

association MatchMatchPlayer between
    Match [1]
    MatchPlayer [1..*]
end

association MatchMatchEvent between
    Match [1]
    MatchEvent [0..*]
end

association MatchMatchNote between
    Match [1]
    MatchNote [0..*]
end

association LocalMatch between
    Team [1] role local
    Match [0..1] role localMatch
end

association VisitorMatch between
    Team [1] role visitor
    Match [0..1] role visitorMatch
end


constraints
context Match inv DifferentTeams:
    self.local <> self.visitor

context Match inv TeamsFromDifferentClubs:
    self.local.club <> self.visitor.club

context MatchReport inv PositiveScore:
    self.scoreVisitor >= 0 and self.scoreLocal >= 0

context MatchReport inv SumOfScoresEqualsGoals:
    self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
Given a conceptual model expressed in the UML-based Specification Environment (USE), your task is to generate valid and realistic instances that conform to the provided model. <requirements> - Instances must be syntactically correct according to the USE syntax_reference. - Avoid unnecessary comments and output the instance in plain text (i.e., not markdown). - Make sure instances fulfill all the model's constraints, and that multiplicities, relationships, and attributes are valid and realistic. - Provide multiple instances with diverse data values and structure. </requirements>  <syntax_reference> Here there is a snippet showing how to create objects and set values in the specific .soil language required: -- This is a comment example  -- Primitive data types:     -- Integer i.e. 1, 2, 3, etc.     -- Real i.e. 1.0, 21.89, 322.05556, etc.     -- Boolean i.e. true or false     -- String i.e. 'Hello World'  -- You can create instances with the following syntax: !new <instance type>('<instance name>') -- Example: !new Client('client1') !new Store('store4')  -- You can assign values to attributes for a created instance with the following syntax: !<instance name>.<attribute name> := <value> -- Example for different data types: !client1.clientId := 1 -- For Integer !client1.balance := 1123.45 -- For Real !client1.name := 'John' -- For Strings !store4.available := true -- For Boolean  -- You can create associations between instances with the following syntax: !insert (<instance name1>, <instance name2>) into <association name> -- Example: !insert (client1, store4) into ClientStore  -- Custom data types usage:     -- dataType Location     -- operations     --   Location(x : Real, y : Real)     --   some other operations     -- end -- You can create custom data types by calling the constructor directly; in this case, the constructor of Location requires two arguments: x and y of type Real. So it can be used as follows: !store4.location := Location(14.0, 289.0)  -- Enums usage:     -- enum Type { Clothes, Shoes } -- Can be used as follows: !store4.type := #Clothes </syntax_reference>
Please generate another instance that is structurally and semantically different from the previous ones.
<role>
You are an expert software and system modeler. You are able to assess the semantic quality of object models that have been created to conform to a domain model. The models are defined in USE (UML-based Specification Environment) and OCL (Object Constraint Language).

Your primary capability is "Semantic Reality Checking". You do not just check for syntactic correctness; you check for real-world plausibility and logical consistency within a given domain.
</role>

<context>
The user will provide two types of content:
1. **Domain Model (.use)**: A class diagram definition including classes, attributes, enums, relationships, multiplicities and roles.
2. **Object Model (.soil)**: An object model. This object model can be seen as a script composed of instructions for the creation of objects, relationships and setting attribute values (snapshot).

Your goal is to act as a judge to determine if the object model represents a **REALISTIC** scenario based on the domain model and common sense real-world logic.
</context>

<definitions>
- **Realistic**: The object model is syntactically correct AND semantically plausible (e.g., A 'Person' has an age between 0 and 120; a 'Car' has a positive price).
- **Unrealistic**: The object model contains contradictions, impossible physical values, or nonsensical relationships (e.g., A 'Person' is their own father; a 'Product' has a negative weight).
- **Doubtful**: You cannot determine whether the object model is realistic or not.
</definitions>

<instructions>
Follow this thinking process strictly before generating the final output:

1. **Analyze the Domain (.use)**: Understand the classes and what they represent in the real world.
2. **Analyze the Instances (.soil)**: Map the created objects to their classes. Look at the specific values assigned to attributes and the relationships created between objects.
3. **Evaluate Semantics**:
    - Apply "Common Sense Knowledge" to the attribute values.
    - Check cardinality and relationship logic beyond simple OCL constraints.
    - Identify any outliers or logical fallacies.
4. **Determine Verdict**: Select one of the defined labels (Realistic/Unrealistic/Doubtful).
</instructions>

<constraints>
- **Tone**: Objective, Analytical, Technical.
- **Verbosity**: Low. Be direct.
- **Reasoning**: The "Why" section must be concise and specific, citing variable names, objects, or relationships when possible.
- Do not output the internal thinking process. Only output the final formatted result.
</constraints>

<output_format>
Structure your response exactly as follows:

**Response**: [Realistic | Unrealistic | Doubtful]
**Why**: [Concise explanation of your reasoning. If Unrealistic, specify the exact objects, values or relationships that break realism.]
</output_format>

<examples>
Example 1:
Input:

<domain_model>
class Person
attributes
    age: Integer
end
class Pet
attributes
    name: String
end
association Ownership between
    Person [1] role owner
    Pet [*] role pets
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 250
!new Pet('pet1')
!pet1.name := 'Luna'
… 1.000 more pets creation …
!pet1000.name := 'Max'
!insert (p1, pet1) into Ownership
…1.000 more pets associated with p1 …
!insert (p1, pet1000) into Ownership
</object_model>

Output:

**Response**: Unrealistic
**Why**: The object 'p1' of class 'Person' has an age of 250, which exceeds the biologically plausible lifespan of a human. Although it is not plausible that 1 same person owns 1.000 pets.


Example 2:
Input:

<domain_model>
class Car
attributes
    brand: String
end
class Person
attributes
    name: String
end
association Ownership between
    Person [1] role owner
    Car [*] role cars
end
</domain_model>
<object_model>
!new Person('p1')
!p1.age := 19
!new Car('c1')
!c1.brand := 'Toyota'
!insert (p1, c1) into Ownership
</object_model>

Output:

**Response**: Realistic
**Why**: The object 'c1' has a valid, recognized real-world car brand assigned, and its plausible that a teenager has only one car.


Example 3:
Input:

<domain_model>
class Component
attributes
    setting_val: Integer
    config_mode: String
end
</domain_model>
<object_model>
!new Component('c1')
!c1.setting_val := 8080
!c1.config_mode := 'Legacy'
</object_model>

Output:

**Response**: Doubtful
**Why**: The class 'Component' and attribute 'setting_val' are generic and lack specific real-world semantic context. Without knowing what specific physical or software system this represents, it is impossible to determine if '8080' is a realistic value or an outlier.

</examples>
<domain_model>
model Football

enum EventType {
    GOAL,
    FOUL,
    OFFSIDE,
    CORNER,
    PENALTY
}

enum BestFoot {
    LEFT,
    RIGHT,
    BOTH
}

enum PlayerPosition {
    GOALKEEPER,
    DEFENDER,
    MIDFIELDER,
    FORWARD
}

class Club
attributes
    name : String
    homeGround : String
    chairman : String
end

class Team
attributes
    name : String
end

class Competition
attributes
    name : String
    type : String
end

class TrainingSession
attributes
	date : String
	location : String
	purpose : String
end

class TrainingNotes
attributes
	note : String
	date : String
end

class MatchEvent
attributes
	eventType : EventType
    time : Integer
end

class Match
attributes
    date : String
    homeAway : Boolean
end

class TrainingFailedToAttend
attributes
	reason : String
end

class Player
attributes
	name : String
    age : Integer
    bestFoot : BestFoot
    phoneNumber : String
end

class MatchReport
attributes
	duration : Integer
    scoreVisitor : Integer
    scoreLocal : Integer
end

class MatchNote
attributes
	note : String
	date : String
end

class TrainingObjective
attributes
	areaToImprove : String
    startDate : String
	endDate : String
    success : Boolean
end

class Position
attributes
    positionName : PlayerPosition
end

class PlayerNotes
attributes
    note : String
    date : String
end

class MatchPlayer
attributes
	booked : Boolean
    goals : Integer
    rating : Integer
end

class MatchPlayerPosition
attributes
    positionName : PlayerPosition
    number : Integer
end

association ClubTeam between
    Club [1]
    Team [1..*]
end

association TeamTraining between
    Team [1]
    TrainingSession [1..*]
end

association CompetitionMatch between
    Competition [1]
    Match [1..*]
end

association TeamPlayer between
    Team [1]
    Player [1..*]
end

association TrainingTrainingNotes between
    TrainingSession [1]
    TrainingNotes [1..*]
end

association TrainingFailded between
    TrainingSession [1]
    TrainingFailedToAttend [0..*]
end

association FailedPlayer between
    TrainingFailedToAttend [0..*]
    Player [1]
end

association TrainingObjectivePlayer between
    TrainingObjective [1..*]
    Player [1]
end

association PlayerPositions between
    Player [1]
    Position [1..3]
end

association PlayerPlayerNotes between
    Player [1]
    PlayerNotes [0..*]
end

association PlayerMatch between
    Player [1]
    MatchPlayer [0..*]
end

association MatchMatchReport between
    Match [1]
    MatchReport [1]
end

association MatchPlayerMatchPlayerPosition between
    MatchPlayer [1]
    MatchPlayerPosition [1]
end

association MatchMatchPlayer between
    Match [1]
    MatchPlayer [1..*]
end

association MatchMatchEvent between
    Match [1]
    MatchEvent [0..*]
end

association MatchMatchNote between
    Match [1]
    MatchNote [0..*]
end

association LocalMatch between
    Team [1] role local
    Match [0..1] role localMatch
end

association VisitorMatch between
    Team [1] role visitor
    Match [0..1] role visitorMatch
end


constraints
context Match inv DifferentTeams:
    self.local <> self.visitor

context Match inv TeamsFromDifferentClubs:
    self.local.club <> self.visitor.club

context MatchReport inv PositiveScore:
    self.scoreVisitor >= 0 and self.scoreLocal >= 0

context MatchReport inv SumOfScoresEqualsGoals:
    self.match.matchEvent->select(event | event.eventType = EventType::GOAL)->size() = (self.scoreVisitor + self.scoreLocal)
</domain_model>

<object_model>
!new Club('club59')
!club59.name := 'Golden Griffins'
!club59.homeGround := 'Griffin Lair'
!club59.chairman := 'Gordon Gold'

!new Club('club60')
!club60.name := 'Sapphire Serpents'
!club60.homeGround := 'Hydra Dome'
!club60.chairman := 'Serena Blue'

!new Team('team59')
!team59.name := 'Griffin Gliders'
!insert (club59, team59) into ClubTeam

!new Team('team60')
!team60.name := 'Serpent Slayers'
!insert (club60, team60) into ClubTeam

!new Competition('mythicBattle')
!mythicBattle.name := 'Mythic Battle'
!mythicBattle.type := 'League'

!new Match('match30')
!match30.date := '2035-04-15'
!match30.homeAway := true
!insert (mythicBattle, match30) into CompetitionMatch
!insert (team59, match30) into LocalMatch
!insert (team60, match30) into VisitorMatch

!new MatchReport('report30')
!report30.duration := 90
!report30.scoreVisitor := 2
!report30.scoreLocal := 3
!insert (match30, report30) into MatchMatchReport

!new Player('player59')
!player59.name := 'Aria Gold'
!player59.age := 28
!player59.bestFoot := #RIGHT
!player59.phoneNumber := '8675432109'
!insert (team59, player59) into TeamPlayer

!new Player('player60')
!player60.name := 'Navin Blue'
!player60.age := 27
!player60.bestFoot := #LEFT
!player60.phoneNumber := '9765432108'
!insert (team60, player60) into TeamPlayer

!new Position('position59')
!position59.positionName := #FORWARD
!insert (player59, position59) into PlayerPositions

!new Position('position60')
!position60.positionName := #MIDFIELDER
!insert (player60, position60) into PlayerPositions

!new MatchPlayer('matchPlayer59')
!matchPlayer59.booked := false
!matchPlayer59.goals := 2
!matchPlayer59.rating := 9
!insert (player59, matchPlayer59) into PlayerMatch
!insert (match30, matchPlayer59) into MatchMatchPlayer

!new MatchPlayer('matchPlayer60')
!matchPlayer60.booked := true
!matchPlayer60.goals := 1
!matchPlayer60.rating := 8
!insert (player60, matchPlayer60) into PlayerMatch
!insert (match30, matchPlayer60) into MatchMatchPlayer

!new MatchPlayerPosition('matchPlayerPosition59')
!matchPlayerPosition59.positionName := #FORWARD
!matchPlayerPosition59.number := 10
!insert (matchPlayer59, matchPlayerPosition59) into MatchPlayerMatchPlayerPosition

!new MatchPlayerPosition('matchPlayerPosition60')
!matchPlayerPosition60.positionName := #MIDFIELDER
!matchPlayerPosition60.number := 6
!insert (matchPlayer60, matchPlayerPosition60) into MatchPlayerMatchPlayerPosition

!new MatchEvent('event120')
!event120.eventType := #GOAL
!event120.time := 16
!insert (match30, event120) into MatchMatchEvent

!new MatchEvent('event121')
!event121.eventType := #GOAL
!event121.time := 40
!insert (match30, event121) into MatchMatchEvent

!new MatchEvent('event122')
!event122.eventType := #GOAL
!event122.time := 67
!insert (match30, event122) into MatchMatchEvent

!new MatchEvent('event123')
!event123.eventType := #GOAL
!event123.time := 74
!insert (match30, event123) into MatchMatchEvent

!new MatchEvent('event124')
!event124.eventType := #GOAL
!event124.time := 89
!insert (match30, event124) into MatchMatchEvent

!new TrainingSession('training59')
!training59.date := '2035-03-01'
!training59.location := 'Golden Grounds'
!training59.purpose := 'Offensive Strategies'
!insert (team59, training59) into TeamTraining

!new TrainingSession('training60')
!training60.date := '2035-03-10'
!training60.location := 'Serpent Nest'
!training60.purpose := 'Defensive Coordination'
!insert (team60, training60) into TeamTraining

!new TrainingNotes('trainingNote59')
!trainingNote59.note := 'Focused on high-pressure attack formations'
!trainingNote59.date := '2035-03-01'
!insert (training59, trainingNote59) into TrainingTrainingNotes

!new TrainingNotes('trainingNote60')
!trainingNote60.note := 'Strengthened defensive partnerships and transitions'
!trainingNote60.date := '2035-03-10'
!insert (training60, trainingNote60) into TrainingTrainingNotes

!new TrainingObjective('objective59')
!objective59.areaToImprove := 'High Tempo Control'
!objective59.startDate := '2035-01-01'
!objective59.endDate := '2035-04-01'
!objective59.success := true
!insert (objective59, player59) into TrainingObjectivePlayer

!new TrainingObjective('objective60')
!objective60.areaToImprove := 'Ball Interception'
!objective60.startDate := '2035-01-15'
!objective60.endDate := '2035-04-15'
!objective60.success := false
!insert (objective60, player60) into TrainingObjectivePlayer
</object_model>
MatchEvent.eventType
Evenness (active groups) = 0.0000 Evenness (all groups) = 0.0000
5
GOAL
0
FOUL
0
OFFSIDE
0
CORNER
0
PENALTY
Player.bestFoot
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.6309
1
LEFT
1
RIGHT
0
BOTH
Position.positionName
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.5000
0
GOALKEEPER
0
DEFENDER
1
MIDFIELDER
1
FORWARD
LLM as a Judge
Realistic

The object model represents a valid, logically consistent scenario. The attribute values are plausible for a football domain (e.g., player ages of 27 and 28, match duration of 90 minutes, event times within the match duration). Relationships are semantically correct, and the total score (3+2) perfectly matches the number of 'GOAL' events generated (5) as expected by the constraints.

Metrics
Stats i
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)
Total Cost $0.13
Validation i
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 0/116
Multiplicities 0/27
Invariants 0/4
Diversity i
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.
Numeric 99.2%
String Equals 99.4%
String LV 85.1%
Shannon (Active) 0.667 ± 0.471
Shannon (All) 0.377 ± 0.272
Coverage i
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 81.3%
Attributes 86.5%
Relationships 77.8%
Uncovered Items 12
Classes 3
MatchNotePlayerNotesTrainingFailedToAttend
Attributes 5
MatchNote.dateMatchNote.notePlayerNotes.datePlayerNotes.noteTrainingFailedToAttend.reason
Relationships 4
FailedPlayerMatchMatchNotePlayerPlayerNotesTrainingFailded
Instantiation i
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 26/∞
Attributes 63/63
Relationships 27/∞