MyExpenses / gen4

Viewer
-- Creating instances of Currency
!new Currency('currency4')
!currency4.name := 'Japanese Yen'
!currency4.abbreviation := 'JPY'

-- Creating instances of Bills
!new Bill('bill9')
!bill9.amount := 10000.00
!bill9.category := 'Office Supplies'
!bill9.date := Date('2023-07-20')
!bill9.paymentMethod := #CREDIT_CARD
!bill9.status := #VERIFIED
!insert (bill9, currency4) into BillCurrency

!new Bill('bill10')
!bill10.amount := 5000.00
!bill10.category := 'Maintenance'
!bill10.date := Date('2023-07-22')
!bill10.paymentMethod := #CASH
!bill10.status := #PENDING
!insert (bill10, currency4) into BillCurrency

-- Creating instances of Comment
!new Comment('comment6')
!comment6.text := 'Quarterly office expenses.'

-- Creating instance of Expense
!new Expense('expense4')
!expense4.amount := 15000.00
!expense4.startDate := Date('2023-07-20')
!expense4.endDate := Date('2023-07-25')
!insert (expense4, bill9) into ExpenseContainsBills
!insert (expense4, bill10) into ExpenseContainsBills
!insert (expense4, comment6) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
-- Creating instances of Currency
!new Currency('currency4')
!currency4.name := 'Japanese Yen'
!currency4.abbreviation := 'JPY'

-- Creating instances of Bills
!new Bill('bill9')
!bill9.amount := 10000.00
!bill9.category := 'Office Supplies'
!bill9.date := Date('2023-07-20')
!bill9.paymentMethod := #CREDIT_CARD
!bill9.status := #VERIFIED
!insert (bill9, currency4) into BillCurrency

!new Bill('bill10')
!bill10.amount := 5000.00
!bill10.category := 'Maintenance'
!bill10.date := Date('2023-07-22')
!bill10.paymentMethod := #CASH
!bill10.status := #PENDING
!insert (bill10, currency4) into BillCurrency

-- Creating instances of Comment
!new Comment('comment6')
!comment6.text := 'Quarterly office expenses.'

-- Creating instance of Expense
!new Expense('expense4')
!expense4.amount := 15000.00
!expense4.startDate := Date('2023-07-20')
!expense4.endDate := Date('2023-07-25')
!insert (expense4, bill9) into ExpenseContainsBills
!insert (expense4, bill10) into ExpenseContainsBills
!insert (expense4, comment6) into ExpenseComment
</object_model>
Bill.paymentMethod
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.6309
1
CREDIT_CARD
0
CHECK
1
CASH
Bill.status
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.3869
0
DRAFT
1
PENDING
1
VERIFIED
0
VALIDATED
0
REFUSED
0
REFUNDED
LLM as a Judge
Realistic

The object model represents a valid real-world scenario. The currency 'Japanese Yen' (JPY) legitimately corresponds to higher numerical amounts, making 10,000 and 5,000 very plausible sums for office supplies and maintenance. The bill dates (July 20 and July 22) correctly fall within the expense period (July 20 to July 25), and the total expense amount (15,000.00) flawlessly equals the sum of the associated bills.

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 $0.01
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 0/26
Multiplicities 0/5
Invariants 0/2
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 100.0%
String Equals 100.0%
String LV 85.9%
Shannon (Active) 1.000 ± 0.000
Shannon (All) 0.509 ± 0.122
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 5/∞
Attributes 16/16
Relationships 5/∞
Viewer
!new Expense('educationalSeminarExpense')
!educationalSeminarExpense.amount := 1280.00
!educationalSeminarExpense.startDate := Date('2023-11-10')
!educationalSeminarExpense.endDate := Date('2023-11-12')

!new Bill('seminarRegistrationBill')
!seminarRegistrationBill.amount := 800.00
!seminarRegistrationBill.category := 'Seminar Registration'
!seminarRegistrationBill.date := Date('2023-10-15')
!seminarRegistrationBill.paymentMethod := #CREDIT_CARD
!seminarRegistrationBill.status := #VERIFIED

!new Bill('accommodationBill')
!accommodationBill.amount := 180.00
!accommodationBill.category := 'Accommodation'
!accommodationBill.date := Date('2023-11-09')
!accommodationBill.paymentMethod := #CREDIT_CARD
!accommodationBill.status := #VALIDATED

!new Bill('dailyMealsBill')
!dailyMealsBill.amount := 150.00
!dailyMealsBill.category := 'Daily Meals'
!dailyMealsBill.date := Date('2023-11-10')
!dailyMealsBill.paymentMethod := #CASH
!dailyMealsBill.status := #VERIFIED

!new Bill('localTransportationBill')
!localTransportationBill.amount := 150.00
!localTransportationBill.category := 'Local Transportation'
!localTransportationBill.date := Date('2023-11-11')
!localTransportationBill.paymentMethod := #CASH
!localTransportationBill.status := #PENDING

!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'

!insert (seminarRegistrationBill, currencyJPY) into BillCurrency
!insert (accommodationBill, currencyJPY) into BillCurrency
!insert (dailyMealsBill, currencyJPY) into BillCurrency
!insert (localTransportationBill, currencyJPY) into BillCurrency

!insert (educationalSeminarExpense, seminarRegistrationBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, accommodationBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, dailyMealsBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, localTransportationBill) into ExpenseContainsBills

!new Comment('seminarRegistrationComment')
!seminarRegistrationComment.text := 'Registration process was smooth, looking forward to gaining new insights.'

!new Comment('accommodationComment')
!accommodationComment.text := 'Accommodation was comfortable and conveniently located near the seminar venue.'

!new Comment('localTransportationComment')
!localTransportationComment.text := 'Local transportation made it easy to explore the city between sessions.'

!insert (educationalSeminarExpense, seminarRegistrationComment) into ExpenseComment
!insert (educationalSeminarExpense, accommodationComment) into ExpenseComment
!insert (educationalSeminarExpense, localTransportationComment) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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: 
## Baseline Instance: Educational Seminar Attendance Expense

### Expense

- **amount**: 1280.00
- **startDate**: "2023-11-10"
- **endDate**: "2023-11-12"

### Bills

1. **Bill 1**:
   - **amount**: 800.00
   - **category**: "Seminar Registration"
   - **date**: "2023-10-15"
   - **paymentMethod**: CREDIT_CARD
   - **status**: VERIFIED
   - **currency**:
     - **name**: "Japanese Yen"
     - **abbreviation**: "JPY"

2. **Bill 2**:
   - **amount**: 180.00
   - **category**: "Accommodation"
   - **date**: "2023-11-09"
   - **paymentMethod**: BANK_TRANSFER
   - **status**: VALIDATED
   - **currency**:
     - **name**: "Japanese Yen"
     - **abbreviation**: "JPY"

3. **Bill 3**:
   - **amount**: 150.00
   - **category**: "Daily Meals"
   - **date**: "2023-11-10"
   - **paymentMethod**: CASH
   - **status**: VERIFIED
   - **currency**:
     - **name**: "Japanese Yen"
     - **abbreviation**: "JPY"

4. **Bill 4**:
   - **amount**: 150.00
   - **category**: "Local Transportation"
   - **date**: "2023-11-11"
   - **paymentMethod**: CASH
   - **status**: PENDING
   - **currency**:
     - **name**: "Japanese Yen"
     - **abbreviation**: "JPY"

### Comments

- **Comment 1**:
  - **text**: "Registration process was smooth, looking forward to gaining new insights."

- **Comment 2**:
  - **text**: "Accommodation was comfortable and conveniently located near the seminar venue."

- **Comment 3**:
  - **text**: "Local transportation made it easy to explore the city between sessions."

This instance illustrates an educational seminar expense characterized by a variety of bill categories, focusing on professional development. The use of Japanese Yen gives it a regional twist set in Japan, incorporating different payment methods and status combinations. The comments reflect a professional's experience attending a seminar, enriching the semantic scope with an educational context. This provides unique structural and semantic diversity from prior examples.
<domain_model>
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
!new Expense('educationalSeminarExpense')
!educationalSeminarExpense.amount := 1280.00
!educationalSeminarExpense.startDate := Date('2023-11-10')
!educationalSeminarExpense.endDate := Date('2023-11-12')

!new Bill('seminarRegistrationBill')
!seminarRegistrationBill.amount := 800.00
!seminarRegistrationBill.category := 'Seminar Registration'
!seminarRegistrationBill.date := Date('2023-10-15')
!seminarRegistrationBill.paymentMethod := #CREDIT_CARD
!seminarRegistrationBill.status := #VERIFIED

!new Bill('accommodationBill')
!accommodationBill.amount := 180.00
!accommodationBill.category := 'Accommodation'
!accommodationBill.date := Date('2023-11-09')
!accommodationBill.paymentMethod := #CREDIT_CARD
!accommodationBill.status := #VALIDATED

!new Bill('dailyMealsBill')
!dailyMealsBill.amount := 150.00
!dailyMealsBill.category := 'Daily Meals'
!dailyMealsBill.date := Date('2023-11-10')
!dailyMealsBill.paymentMethod := #CASH
!dailyMealsBill.status := #VERIFIED

!new Bill('localTransportationBill')
!localTransportationBill.amount := 150.00
!localTransportationBill.category := 'Local Transportation'
!localTransportationBill.date := Date('2023-11-11')
!localTransportationBill.paymentMethod := #CASH
!localTransportationBill.status := #PENDING

!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'

!insert (seminarRegistrationBill, currencyJPY) into BillCurrency
!insert (accommodationBill, currencyJPY) into BillCurrency
!insert (dailyMealsBill, currencyJPY) into BillCurrency
!insert (localTransportationBill, currencyJPY) into BillCurrency

!insert (educationalSeminarExpense, seminarRegistrationBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, accommodationBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, dailyMealsBill) into ExpenseContainsBills
!insert (educationalSeminarExpense, localTransportationBill) into ExpenseContainsBills

!new Comment('seminarRegistrationComment')
!seminarRegistrationComment.text := 'Registration process was smooth, looking forward to gaining new insights.'

!new Comment('accommodationComment')
!accommodationComment.text := 'Accommodation was comfortable and conveniently located near the seminar venue.'

!new Comment('localTransportationComment')
!localTransportationComment.text := 'Local transportation made it easy to explore the city between sessions.'

!insert (educationalSeminarExpense, seminarRegistrationComment) into ExpenseComment
!insert (educationalSeminarExpense, accommodationComment) into ExpenseComment
!insert (educationalSeminarExpense, localTransportationComment) into ExpenseComment
</object_model>
No judge system prompt available
No judge user prompt available
Bill.paymentMethod
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.6309
2
CREDIT_CARD
0
CHECK
2
CASH
Bill.status
Evenness (active groups) = 0.9464 Evenness (all groups) = 0.5803
0
DRAFT
1
PENDING
2
VERIFIED
1
VALIDATED
0
REFUSED
0
REFUNDED
LLM as a Judge
Unrealistic

The monetary amounts assigned to the bills are completely nonsensical given the explicitly assigned currency (Japanese Yen, 'JPY'). Values like 180.00 for 'Accommodation' and 800.00 for 'Seminar Registration' equate to roughly $1.20 and $5.50 USD respectively, which are impossible real-world prices for these services. The numerical values are plausible for USD or EUR, but not for JPY.

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 $0.06
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 0/48
Multiplicities 0/11
Invariants 0/2
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 90.0%
String Equals 100.0%
String LV 86.3%
Shannon (Active) 0.973 ± 0.027
Shannon (All) 0.606 ± 0.025
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 9/∞
Attributes 28/28
Relationships 11/∞
Viewer
!new Expense('boundaryExpense')
!boundaryExpense.amount := 800.00
!boundaryExpense.startDate := Date('2023-05-01')
!boundaryExpense.endDate := Date('2023-05-31')

!new Bill('summerUtilitiesBill')
!summerUtilitiesBill.amount := 500.00
!summerUtilitiesBill.category := 'Summer Utilities'
!summerUtilitiesBill.date := Date('2023-05-10')
!summerUtilitiesBill.paymentMethod := #CHECK
!summerUtilitiesBill.status := #PENDING

!new Bill('emergencyPlumbingBill')
!emergencyPlumbingBill.amount := 300.00
!emergencyPlumbingBill.category := 'Emergency Plumbing'
!emergencyPlumbingBill.date := Date('2023-05-24')
!emergencyPlumbingBill.paymentMethod := #CASH
!emergencyPlumbingBill.status := #REFUNDED

!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'

!insert (summerUtilitiesBill, currencyGBP) into BillCurrency
!insert (emergencyPlumbingBill, currencyGBP) into BillCurrency

!insert (boundaryExpense, summerUtilitiesBill) into ExpenseContainsBills
!insert (boundaryExpense, emergencyPlumbingBill) into ExpenseContainsBills

!new Comment('utilitiesComment')
!utilitiesComment.text := 'Payment for utility bills, awaiting clearance.'

!new Comment('refundComment')
!refundComment.text := 'Refund processed for emergency expense due to incorrect service billing.'

!insert (boundaryExpense, utilitiesComment) into ExpenseComment
!insert (boundaryExpense, refundComment) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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: 
## Boundary Case Instance: MyExpenses

### Expense Details

- **Expense**:
  - **amount**: 800.00
  - **startDate**: "2023-05-01"
  - **endDate**: "2023-05-31"

### Bills Contained in Expense

#### Bill 1 (Lower Limit Transaction and Light Commentary)

- **Bill**:
  - **amount**: 500.00
  - **category**: "Summer Utilities"
  - **date**: "2023-05-10"
  - **paymentMethod**: CHECK
  - **status**: PENDING

- **Currency**:
  - **name**: "British Pound"
  - **abbreviation**: "GBP"

#### Bill 2 (Testing Dynamic Status and Immediate Needs)

- **Bill**:
  - **amount**: 300.00
  - **category**: "Emergency Plumbing"
  - **date**: "2023-05-24"
  - **paymentMethod**: CASH
  - **status**: REFUNDED

- **Currency**:
  - **name**: "British Pound"
  - **abbreviation**: "GBP"

### Comments on the Expense

- **Comments**: 
  - **Comment 1**:
    - **text**: "Payment for utility bills, awaiting clearance."
  - **Comment 2**:
    - **text**: "Refund processed for emergency expense due to incorrect service billing."

### Explanation

- The **Expense** amount of 800.00 reflects the sum of two distinct bills, each with different statuses and categories.
- **Bill 1** represents a routine utility expense with a status of PENDING, while **Bill 2**, with its REFUNDED status, represents a scenario where a service charge required correction after being deemed inappropriate or incorrect.
- Both bills use the **British Pound** (GBP), situating this instance within a UK context, providing regional variety.
- This instance contains two **Comments**, detailing the statuses and nature of these bills, emphasizing clarity in expense tracking, especially in cases of financial error rectification.
- By spanning a single month, the expense timeline is straightforward and manageable yet showcases diverse financial events, reflecting the variance in daily financial management.

This instance underlines the context of handling both regular and emergency expenses with the added element of error corrections in billing, highlighting effective auditability and regional considerations within financial systems.
<domain_model>
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
!new Expense('boundaryExpense')
!boundaryExpense.amount := 800.00
!boundaryExpense.startDate := Date('2023-05-01')
!boundaryExpense.endDate := Date('2023-05-31')

!new Bill('summerUtilitiesBill')
!summerUtilitiesBill.amount := 500.00
!summerUtilitiesBill.category := 'Summer Utilities'
!summerUtilitiesBill.date := Date('2023-05-10')
!summerUtilitiesBill.paymentMethod := #CHECK
!summerUtilitiesBill.status := #PENDING

!new Bill('emergencyPlumbingBill')
!emergencyPlumbingBill.amount := 300.00
!emergencyPlumbingBill.category := 'Emergency Plumbing'
!emergencyPlumbingBill.date := Date('2023-05-24')
!emergencyPlumbingBill.paymentMethod := #CASH
!emergencyPlumbingBill.status := #REFUNDED

!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound'
!currencyGBP.abbreviation := 'GBP'

!insert (summerUtilitiesBill, currencyGBP) into BillCurrency
!insert (emergencyPlumbingBill, currencyGBP) into BillCurrency

!insert (boundaryExpense, summerUtilitiesBill) into ExpenseContainsBills
!insert (boundaryExpense, emergencyPlumbingBill) into ExpenseContainsBills

!new Comment('utilitiesComment')
!utilitiesComment.text := 'Payment for utility bills, awaiting clearance.'

!new Comment('refundComment')
!refundComment.text := 'Refund processed for emergency expense due to incorrect service billing.'

!insert (boundaryExpense, utilitiesComment) into ExpenseComment
!insert (boundaryExpense, refundComment) into ExpenseComment
</object_model>
No judge system prompt available
No judge user prompt available
Bill.paymentMethod
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.6309
0
CREDIT_CARD
1
CHECK
1
CASH
Bill.status
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.3869
0
DRAFT
1
PENDING
0
VERIFIED
0
VALIDATED
0
REFUSED
1
REFUNDED
LLM as a Judge
Realistic

The object model represents a logically sound scenario. The total expense amount (800.00) perfectly matches the sum of the individual bills (500.00 and 300.00). The billing dates (May 10 and May 24) fall correctly within the expense period (May 1 to May 31). Furthermore, the currency is accurately labeled (British Pound / GBP) and the comments perfectly align with the bill statuses (Pending and Refunded).

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 $0.07
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 0/29
Multiplicities 0/6
Invariants 0/2
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 100.0%
String Equals 100.0%
String LV 87.4%
Shannon (Active) 1.000 ± 0.000
Shannon (All) 0.509 ± 0.122
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 6/∞
Attributes 17/17
Relationships 6/∞
Viewer
!new Expense('renovationProjectExpense')
!renovationProjectExpense.amount := 8500.00
!renovationProjectExpense.startDate := Date('2023-06-01')
!renovationProjectExpense.endDate := Date('2023-07-15')

!new Bill('laborCostsBill')
!laborCostsBill.amount := 3000.00
!laborCostsBill.category := 'Labor Costs'
!laborCostsBill.date := Date('2023-06-01')
!laborCostsBill.paymentMethod := #CHECK
!laborCostsBill.status := #VERIFIED

!new Bill('materialsBill')
!materialsBill.amount := 2500.00
!materialsBill.category := 'Materials'
!materialsBill.date := Date('2023-06-10')
!materialsBill.paymentMethod := #CREDIT_CARD
!materialsBill.status := #VERIFIED

!new Bill('interiorDesignBill')
!interiorDesignBill.amount := 1500.00
!interiorDesignBill.category := 'Interior Design'
!interiorDesignBill.date := Date('2023-06-20')
!interiorDesignBill.paymentMethod := #CASH
!interiorDesignBill.status := #VALIDATED

!new Bill('permitsLegalFeesBill')
!permitsLegalFeesBill.amount := 1000.00
!permitsLegalFeesBill.category := 'Permits and Legal Fees'
!permitsLegalFeesBill.date := Date('2023-06-15')
!permitsLegalFeesBill.paymentMethod := #CREDIT_CARD
!permitsLegalFeesBill.status := #PENDING

!new Bill('miscellaneousExpensesBill')
!miscellaneousExpensesBill.amount := 500.00
!miscellaneousExpensesBill.category := 'Miscellaneous Expenses'
!miscellaneousExpensesBill.date := Date('2023-07-01')
!miscellaneousExpensesBill.paymentMethod := #CHECK
!miscellaneousExpensesBill.status := #REFUNDED

!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'

!insert (laborCostsBill, currencyCAD) into BillCurrency
!insert (materialsBill, currencyCAD) into BillCurrency
!insert (interiorDesignBill, currencyCAD) into BillCurrency
!insert (permitsLegalFeesBill, currencyCAD) into BillCurrency
!insert (miscellaneousExpensesBill, currencyCAD) into BillCurrency

!insert (renovationProjectExpense, laborCostsBill) into ExpenseContainsBills
!insert (renovationProjectExpense, materialsBill) into ExpenseContainsBills
!insert (renovationProjectExpense, interiorDesignBill) into ExpenseContainsBills
!insert (renovationProjectExpense, permitsLegalFeesBill) into ExpenseContainsBills
!insert (renovationProjectExpense, miscellaneousExpensesBill) into ExpenseContainsBills

!new Comment('renovationComment1')
!renovationComment1.text := 'Renovation of the downtown office building, including electrical rewiring and interior design updates.'

!new Comment('renovationComment2')
!renovationComment2.text := 'Project completed ahead of schedule despite initial delays due to supply chain disruptions.'

!insert (renovationProjectExpense, renovationComment1) into ExpenseComment
!insert (renovationProjectExpense, renovationComment2) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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: 
### Complex Instance: Renovation Project Expenses

#### Expense Instance

- **Expense ID**: E004
  - **amount**: 8500.00 (This is the sum of all associated bills.)
  - **startDate**: "2023-06-01"
  - **endDate**: "2023-07-15"
  - **Comments**:
    - (Comment 1)
      - **text**: "Renovation of the downtown office building, including electrical rewiring and interior design updates."
    - (Comment 2)
      - **text**: "Project completed ahead of schedule despite initial delays due to supply chain disruptions."

#### Bill Instances (Related to Expense E004)

1. **Bill ID**: B014
   - **amount**: 3000.00
   - **category**: "Labor Costs"
   - **date**: "2023-06-01"
   - **paymentMethod**: CHECK
   - **status**: VERIFIED
   - **Currency**:
     - **name**: "Canadian Dollar"
     - **abbreviation**: "CAD"

2. **Bill ID**: B015
   - **amount**: 2500.00
   - **category**: "Materials"
   - **date**: "2023-06-10"
   - **paymentMethod**: CREDIT_CARD
   - **status**: VERIFIED
   - **Currency**:
     - **name**: "Canadian Dollar"
     - **abbreviation**: "CAD"

3. **Bill ID**: B016
   - **amount**: 1500.00
   - **category**: "Interior Design"
   - **date**: "2023-06-20"
   - **paymentMethod**: CASH
   - **status**: VALIDATED
   - **Currency**:
     - **name**: "Canadian Dollar"
     - **abbreviation**: "CAD"

4. **Bill ID**: B017
   - **amount**: 1000.00
   - **category**: "Permits and Legal Fees"
   - **date**: "2023-06-15"
   - **paymentMethod**: CREDIT_CARD
   - **status**: PENDING
   - **Currency**:
     - **name**: "Canadian Dollar"
     - **abbreviation**: "CAD"

5. **Bill ID**: B018
   - **amount**: 500.00
   - **category**: "Miscellaneous Expenses"
   - **date**: "2023-07-01"
   - **paymentMethod**: CHECK
   - **status**: REFUNDED
   - **Currency**:
     - **name**: "Canadian Dollar"
     - **abbreviation**: "CAD"

#### Details and Relationships

- **ExpenseContainsBills**: The expense E004 encompasses five bills (B014, B015, B016, B017, B018), each representing distinct facets of the renovation project such as labor, materials, design, and regulatory fees.

- **ExpenseComment**: The remarks associated with expense E004 reflect on the operational challenges and the successful completion of the project, illustrating the complexity and commitment involved in renovation undertakings.

- **BillCurrency**: All bills use a single currency, "Canadian Dollar (CAD)", indicating that the expenses are bound within Canada.

In this instance, the invariants are respected as follows:
- **Expense inv positiveAmount**: All amounts are positive, representing legitimate costs incurred during the project.
- **Expense inv expenseSumOfBills**: The total expense amount (8500.00) equals the sum of all bill amounts (3000.00 + 2500.00 + 1500.00 + 1000.00 + 500.00 = 8500.00).

This instance showcases a renovation project scenario, focusing on local challenges and costs, with various payment methods and bill statuses, while maintaining all associated expenses in the Canadian context.
<domain_model>
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
!new Expense('renovationProjectExpense')
!renovationProjectExpense.amount := 8500.00
!renovationProjectExpense.startDate := Date('2023-06-01')
!renovationProjectExpense.endDate := Date('2023-07-15')

!new Bill('laborCostsBill')
!laborCostsBill.amount := 3000.00
!laborCostsBill.category := 'Labor Costs'
!laborCostsBill.date := Date('2023-06-01')
!laborCostsBill.paymentMethod := #CHECK
!laborCostsBill.status := #VERIFIED

!new Bill('materialsBill')
!materialsBill.amount := 2500.00
!materialsBill.category := 'Materials'
!materialsBill.date := Date('2023-06-10')
!materialsBill.paymentMethod := #CREDIT_CARD
!materialsBill.status := #VERIFIED

!new Bill('interiorDesignBill')
!interiorDesignBill.amount := 1500.00
!interiorDesignBill.category := 'Interior Design'
!interiorDesignBill.date := Date('2023-06-20')
!interiorDesignBill.paymentMethod := #CASH
!interiorDesignBill.status := #VALIDATED

!new Bill('permitsLegalFeesBill')
!permitsLegalFeesBill.amount := 1000.00
!permitsLegalFeesBill.category := 'Permits and Legal Fees'
!permitsLegalFeesBill.date := Date('2023-06-15')
!permitsLegalFeesBill.paymentMethod := #CREDIT_CARD
!permitsLegalFeesBill.status := #PENDING

!new Bill('miscellaneousExpensesBill')
!miscellaneousExpensesBill.amount := 500.00
!miscellaneousExpensesBill.category := 'Miscellaneous Expenses'
!miscellaneousExpensesBill.date := Date('2023-07-01')
!miscellaneousExpensesBill.paymentMethod := #CHECK
!miscellaneousExpensesBill.status := #REFUNDED

!new Currency('currencyCAD')
!currencyCAD.name := 'Canadian Dollar'
!currencyCAD.abbreviation := 'CAD'

!insert (laborCostsBill, currencyCAD) into BillCurrency
!insert (materialsBill, currencyCAD) into BillCurrency
!insert (interiorDesignBill, currencyCAD) into BillCurrency
!insert (permitsLegalFeesBill, currencyCAD) into BillCurrency
!insert (miscellaneousExpensesBill, currencyCAD) into BillCurrency

!insert (renovationProjectExpense, laborCostsBill) into ExpenseContainsBills
!insert (renovationProjectExpense, materialsBill) into ExpenseContainsBills
!insert (renovationProjectExpense, interiorDesignBill) into ExpenseContainsBills
!insert (renovationProjectExpense, permitsLegalFeesBill) into ExpenseContainsBills
!insert (renovationProjectExpense, miscellaneousExpensesBill) into ExpenseContainsBills

!new Comment('renovationComment1')
!renovationComment1.text := 'Renovation of the downtown office building, including electrical rewiring and interior design updates.'

!new Comment('renovationComment2')
!renovationComment2.text := 'Project completed ahead of schedule despite initial delays due to supply chain disruptions.'

!insert (renovationProjectExpense, renovationComment1) into ExpenseComment
!insert (renovationProjectExpense, renovationComment2) into ExpenseComment
</object_model>
No judge system prompt available
No judge user prompt available
Bill.paymentMethod
Evenness (active groups) = 0.9602 Evenness (all groups) = 0.9602
2
CREDIT_CARD
2
CHECK
1
CASH
Bill.status
Evenness (active groups) = 0.9610 Evenness (all groups) = 0.7435
0
DRAFT
1
PENDING
2
VERIFIED
1
VALIDATED
0
REFUSED
1
REFUNDED
LLM as a Judge
Realistic

The object model represents a plausible real-world scenario of a renovation project. The bill categories (labor, materials, permits) are logical, all bill dates fall within the overall expense timeframe, the sum of the individual bills (8500.00) perfectly matches the total expense amount, and the currency (CAD) is correctly represented.

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 $0.09
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 0/53
Multiplicities 0/12
Invariants 0/2
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 100.0%
String Equals 100.0%
String LV 86.6%
Shannon (Active) 0.961 ± 0.000
Shannon (All) 0.852 ± 0.108
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 9/∞
Attributes 32/32
Relationships 12/∞
Viewer
!new Expense('postDisasterInfrastructureRebuild')
!postDisasterInfrastructureRebuild.amount := 86500.00
!postDisasterInfrastructureRebuild.startDate := Date('2023-05-01')
!postDisasterInfrastructureRebuild.endDate := Date('2023-05-05')

!new Bill('constructionMaterialsBill')
!constructionMaterialsBill.amount := 35000.00
!constructionMaterialsBill.category := 'Construction Materials'
!constructionMaterialsBill.date := Date('2023-05-01')
!constructionMaterialsBill.paymentMethod := #CASH
!constructionMaterialsBill.status := #PENDING

!new Bill('laborCostsBill')
!laborCostsBill.amount := 25000.00
!laborCostsBill.category := 'Labor Costs'
!laborCostsBill.date := Date('2023-05-03')
!laborCostsBill.paymentMethod := #CREDIT_CARD
!laborCostsBill.status := #VERIFIED

!new Bill('machineryLeasingBill')
!machineryLeasingBill.amount := 15000.00
!machineryLeasingBill.category := 'Machinery Leasing'
!machineryLeasingBill.date := Date('2023-05-04')
!machineryLeasingBill.paymentMethod := #CHECK
!machineryLeasingBill.status := #VALIDATED

!new Bill('siteSecurityBill')
!siteSecurityBill.amount := 11500.00
!siteSecurityBill.category := 'Site Security'
!siteSecurityBill.date := Date('2023-05-05')
!siteSecurityBill.paymentMethod := #CREDIT_CARD
!siteSecurityBill.status := #DRAFT

!new Currency('currencyUSD')
!currencyUSD.name := 'US Dollar'
!currencyUSD.abbreviation := 'USD'

!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'

!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'

!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound Sterling'
!currencyGBP.abbreviation := 'GBP'

!insert (constructionMaterialsBill, currencyUSD) into BillCurrency
!insert (laborCostsBill, currencyEUR) into BillCurrency
!insert (machineryLeasingBill, currencyJPY) into BillCurrency
!insert (siteSecurityBill, currencyGBP) into BillCurrency

!insert (postDisasterInfrastructureRebuild, constructionMaterialsBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, laborCostsBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, machineryLeasingBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, siteSecurityBill) into ExpenseContainsBills

!new Comment('materialsComment')
!materialsComment.text := 'Urgent need for construction materials to prevent delays due to administrative hold-ups.'

!new Comment('laborCostsComment')
!laborCostsComment.text := 'Labor costs negotiated successfully, ensuring skillful workforce attendance.'

!new Comment('machineryComment')
!machineryComment.text := 'Machinery efficiency maximized within agreed leasing periods, confirming arrangements are effective.'

!new Comment('securityComment')
!securityComment.text := 'Pending security protocols for site need expedited draft approval, crucial for safety standards compliance.'

!insert (postDisasterInfrastructureRebuild, materialsComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, laborCostsComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, machineryComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, securityComment) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 Case Instance: Post-Disaster Infrastructure Rebuild

### Description
This instance, "Post-Disaster Infrastructure Rebuild," captures a scenario where a governmental agency manages a large-scale expense dedicated to rebuilding infrastructure after a natural disaster. The instance shows complex management involving multiple financial entries over a brief period, characteristic of emergency responses, and multiple payment complexities.

### Components

- **Expense**:
  - **amount**: 86500.00
  - **startDate**: "2023-05-01"
  - **endDate**: "2023-05-05"

- **Bills**:
  - **Bill 1**:
    - **amount**: 35000.00
    - **category**: "Construction Materials"
    - **date**: "2023-05-01"
    - **paymentMethod**: CASH
    - **status**: PENDING
  - **Bill 2**:
    - **amount**: 25000.00
    - **category**: "Labor Costs"
    - **date**: "2023-05-03"
    - **paymentMethod**: CREDIT_CARD
    - **status**: VERIFIED
  - **Bill 3**:
    - **amount**: 15000.00
    - **category**: "Machinery Leasing"
    - **date**: "2023-05-04"
    - **paymentMethod**: CHECK
    - **status**: VALIDATED
  - **Bill 4**:
    - **amount**: 11500.00
    - **category**: "Site Security"
    - **date**: "2023-05-05"
    - **paymentMethod**: CREDIT_CARD
    - **status**: DRAFT

- **Currency**:
  - **Bill 1** uses Currency:
    - **name**: "US Dollar"
    - **abbreviation**: "USD"
  - **Bill 2** uses Currency:
    - **name**: "Euro"
    - **abbreviation**: "EUR"
  - **Bill 3** uses Currency:
    - **name**: "Japanese Yen"
    - **abbreviation**: "JPY"
  - **Bill 4** uses Currency:
    - **name**: "British Pound Sterling"
    - **abbreviation**: "GBP"

- **Comments**:
  - **Comment 1**:
    - **text**: "Urgent need for construction materials to prevent delays due to administrative hold-ups."
  - **Comment 2**:
    - **text**: "Labor costs negotiated successfully, ensuring skillful workforce attendance."
  - **Comment 3**:
    - **text**: "Machinery efficiency maximized within agreed leasing periods, confirming arrangements are effective."
  - **Comment 4**:
    - **text**: "Pending security protocols for site need expedited draft approval, crucial for safety standards compliance."

### Explanation

- The **Expense** outlines a comprehensive response to an urgent infrastructure rebuilding project, reflecting significant financial commitment within a short timeframe.
- **Bills** are tailored to demonstrate diverse transaction types tied to the rebuilding phase, with distinct statuses ranging from DRAFT to VERIFIED, challenging normal operational processes with simultaneous actions.
- The variety of **Currencies** highlights global procurement needs and financial diversity, representing purchases from international suppliers vital for the rebuilding effort.
- The use of multiple **PaymentMethods** (CASH, CREDIT_CARD, CHECK) adapts to the varying urgency levels and vendor requirements in a crisis scenario.
- **Comments** provide insights on priority-driven financial actions, indicating administrative planning and operational necessities throughout the rebuilding phase.

This instance vividly encapsulates the intense financial management needed during post-disaster recovery, vividly demonstrating the functionalities of the "MyExpenses" model in handling multifaceted scenarios with involved financial strategies and swift operational responses.
<domain_model>
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
!new Expense('postDisasterInfrastructureRebuild')
!postDisasterInfrastructureRebuild.amount := 86500.00
!postDisasterInfrastructureRebuild.startDate := Date('2023-05-01')
!postDisasterInfrastructureRebuild.endDate := Date('2023-05-05')

!new Bill('constructionMaterialsBill')
!constructionMaterialsBill.amount := 35000.00
!constructionMaterialsBill.category := 'Construction Materials'
!constructionMaterialsBill.date := Date('2023-05-01')
!constructionMaterialsBill.paymentMethod := #CASH
!constructionMaterialsBill.status := #PENDING

!new Bill('laborCostsBill')
!laborCostsBill.amount := 25000.00
!laborCostsBill.category := 'Labor Costs'
!laborCostsBill.date := Date('2023-05-03')
!laborCostsBill.paymentMethod := #CREDIT_CARD
!laborCostsBill.status := #VERIFIED

!new Bill('machineryLeasingBill')
!machineryLeasingBill.amount := 15000.00
!machineryLeasingBill.category := 'Machinery Leasing'
!machineryLeasingBill.date := Date('2023-05-04')
!machineryLeasingBill.paymentMethod := #CHECK
!machineryLeasingBill.status := #VALIDATED

!new Bill('siteSecurityBill')
!siteSecurityBill.amount := 11500.00
!siteSecurityBill.category := 'Site Security'
!siteSecurityBill.date := Date('2023-05-05')
!siteSecurityBill.paymentMethod := #CREDIT_CARD
!siteSecurityBill.status := #DRAFT

!new Currency('currencyUSD')
!currencyUSD.name := 'US Dollar'
!currencyUSD.abbreviation := 'USD'

!new Currency('currencyEUR')
!currencyEUR.name := 'Euro'
!currencyEUR.abbreviation := 'EUR'

!new Currency('currencyJPY')
!currencyJPY.name := 'Japanese Yen'
!currencyJPY.abbreviation := 'JPY'

!new Currency('currencyGBP')
!currencyGBP.name := 'British Pound Sterling'
!currencyGBP.abbreviation := 'GBP'

!insert (constructionMaterialsBill, currencyUSD) into BillCurrency
!insert (laborCostsBill, currencyEUR) into BillCurrency
!insert (machineryLeasingBill, currencyJPY) into BillCurrency
!insert (siteSecurityBill, currencyGBP) into BillCurrency

!insert (postDisasterInfrastructureRebuild, constructionMaterialsBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, laborCostsBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, machineryLeasingBill) into ExpenseContainsBills
!insert (postDisasterInfrastructureRebuild, siteSecurityBill) into ExpenseContainsBills

!new Comment('materialsComment')
!materialsComment.text := 'Urgent need for construction materials to prevent delays due to administrative hold-ups.'

!new Comment('laborCostsComment')
!laborCostsComment.text := 'Labor costs negotiated successfully, ensuring skillful workforce attendance.'

!new Comment('machineryComment')
!machineryComment.text := 'Machinery efficiency maximized within agreed leasing periods, confirming arrangements are effective.'

!new Comment('securityComment')
!securityComment.text := 'Pending security protocols for site need expedited draft approval, crucial for safety standards compliance.'

!insert (postDisasterInfrastructureRebuild, materialsComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, laborCostsComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, machineryComment) into ExpenseComment
!insert (postDisasterInfrastructureRebuild, securityComment) into ExpenseComment
</object_model>
No judge system prompt available
No judge user prompt available
Bill.paymentMethod
Evenness (active groups) = 0.9464 Evenness (all groups) = 0.9464
2
CREDIT_CARD
1
CHECK
1
CASH
Bill.status
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.7737
1
DRAFT
1
PENDING
1
VERIFIED
1
VALIDATED
0
REFUSED
0
REFUNDED
LLM as a Judge
Unrealistic

The object model directly sums the raw numeric amounts of four bills (35,000 + 25,000 + 15,000 + 11,500 = 86,500) to define the total for the 'postDisasterInfrastructureRebuild' expense, despite these bills being denominated in completely different currencies (USD, EUR, JPY, and GBP). Summing unconverted values across different currencies is a fundamental accounting fallacy. Additionally, paying a 35,000 'constructionMaterialsBill' in CASH is highly impractical and a severe breach of standard financial practices for corporate infrastructure projects.

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 $0.11
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 0/60
Multiplicities 0/12
Invariants 0/2
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 100.0%
String Equals 100.0%
String LV 92.2%
Shannon (Active) 0.973 ± 0.027
Shannon (All) 0.860 ± 0.086
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 13/∞
Attributes 35/35
Relationships 12/∞
Viewer
!new Expense('festivalWeekendExpense')
!festivalWeekendExpense.amount := 850.00
!festivalWeekendExpense.startDate := Date('2024-11-05')
!festivalWeekendExpense.endDate := Date('2024-11-07')

!new Bill('festivalTicketBill')
!festivalTicketBill.amount := 300.00
!festivalTicketBill.category := 'Music Festival Ticket'
!festivalTicketBill.date := Date('2024-10-15')
!festivalTicketBill.paymentMethod := #CREDIT_CARD
!festivalTicketBill.status := #REFUNDED

!new Bill('hotelAccommodationBill')
!hotelAccommodationBill.amount := 350.00
!hotelAccommodationBill.category := 'Hotel Stay'
!hotelAccommodationBill.date := Date('2024-11-04')
!hotelAccommodationBill.paymentMethod := #CREDIT_CARD
!hotelAccommodationBill.status := #VALIDATED

!new Bill('souvenirShoppingBill')
!souvenirShoppingBill.amount := 200.00
!souvenirShoppingBill.category := 'Shopping for Souvenirs'
!souvenirShoppingBill.date := Date('2024-11-06')
!souvenirShoppingBill.paymentMethod := #CASH
!souvenirShoppingBill.status := #VERIFIED

!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'

!insert (festivalTicketBill, currencyINR) into BillCurrency
!insert (hotelAccommodationBill, currencyINR) into BillCurrency
!insert (souvenirShoppingBill, currencyINR) into BillCurrency

!insert (festivalWeekendExpense, festivalTicketBill) into ExpenseContainsBills
!insert (festivalWeekendExpense, hotelAccommodationBill) into ExpenseContainsBills
!insert (festivalWeekendExpense, souvenirShoppingBill) into ExpenseContainsBills

!new Comment('festivalExperience')
!festivalExperience.text := 'An unforgettable music experience; must return next year!'

!new Comment('refundIssue')
!refundIssue.text := 'Contact customer service to resolve ticket refund discrepancies.'

!insert (festivalWeekendExpense, festivalExperience) into ExpenseComment
!insert (festivalWeekendExpense, refundIssue) into ExpenseComment
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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 MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
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: FestivalWeekendExpense

### Description:

Rajesh decides to attend a renowned music festival over the weekend in Mumbai, India. While capturing his expenses, he encounters a conflict in the model concerning duplicative payment methods across bills and the handling of unanticipated refunds.

### Entities:

- **Expense (FestivalWeekendExpense)**
  - **amount**: 850.00
  - **startDate**: "2024-11-05"
  - **endDate**: "2024-11-07"

- **Bill (FestivalTicketBill)**
  - **amount**: 300.00
  - **category**: "Music Festival Ticket"
  - **date**: "2024-10-15"
  - **paymentMethod**: CREDIT_CARD
  - **status**: REFUNDED
  - **Currency (INR)**
    - **name**: "Indian Rupee"
    - **abbreviation**: "INR"

- **Bill (HotelAccommodationBill)**
  - **amount**: 350.00
  - **category**: "Hotel Stay"
  - **date**: "2024-11-04"
  - **paymentMethod**: CREDIT_CARD
  - **status**: VALIDATED
  - **Currency (INR)**
    - **name**: "Indian Rupee"
    - **abbreviation**: "INR"

- **Bill (SouvenirShoppingBill)**
  - **amount**: 200.00
  - **category**: "Shopping for Souvenirs"
  - **date**: "2024-11-06"
  - **paymentMethod**: CASH
  - **status**: VERIFIED
  - **Currency (INR)**
    - **name**: "Indian Rupee"
    - **abbreviation**: "INR"

- **Comment (FestivalExperience)**
  - **text**: "An unforgettable music experience; must return next year!"

- **Comment (RefundIssue)**
  - **text**: "Contact customer service to resolve ticket refund discrepancies."

### Relationships and Overconstraint Detection:

1. **ExpenseContainsBills**
   - `FestivalWeekendExpense` comprises three bills: `FestivalTicketBill`, `HotelAccommodationBill`, and `SouvenirShoppingBill`.
   - **Violation**: The inclusion of a refunded bill (`FestivalTicketBill`) complicates total accounting. While refunds must reflect as expense nullifications, without model guidance, it results in unresolved financial summary errors related to duplicative payment methods confusion, etched in `CREDIT_CARD` use dominance without restructuring.

2. **BillCurrency**
   - All bills are associated with the same currency: `INR`, ensuring consistent monetary evaluation zone-wide while underscoring issues with diverse payment method implications.

3. **ExpenseComment**
   - `FestivalWeekendExpense` includes practical comments: `FestivalExperience` and `RefundIssue`, providing both commendatory and advisory conditions.

4. **Invariant Violation**
   - The principal discrepancy emerges from processing refunds within rigid initial modeling, demanding advanced methodological implementations or fee adaptive schemes to naturally handle refund cycles accurately – additionally highlighting unstructured multi-use payment method challenges.

This instance stresses upon the necessity to accommodate both acceptive and rejective monetary events such as refunds seamlessly, alongside addressing recurrent payment methodologies, fostering accuracy essential in contextually complex gastwirtschaft domains like travel or event participation.
<domain_model>
model MyExpenses

dataType Date
operations
    Date(date : String)
end

enum PaymentMethod {
    CREDIT_CARD,
    CHECK,
    CASH
}

enum BillStatus {
    DRAFT,
    PENDING,
    VERIFIED,
    VALIDATED,
    REFUSED,
    REFUNDED
}

class Expense
attributes
    amount : Real
    startDate : Date
    endDate : Date
end

class Bill
attributes
    amount : Real
    category : String
    date : Date
    paymentMethod : PaymentMethod
    status : BillStatus
end

class Comment
attributes
    text : String
end

class Currency
attributes
    name : String
    abbreviation : String
end


composition ExpenseContainsBills between
    Expense [1]
    Bill [*] role bills
end

association ExpenseComment between
    Expense [1]
    Comment [*] role comments
end

association BillCurrency between
    Bill [1..*]
    Currency [1] role currency
end

constraints
context Expense inv positiveAmount:
    self.amount >= 0

context Expense inv expenseSumOfBills:
    self.amount = self.bills->collect(b : Bill | b.amount)->sum()
</domain_model>

<object_model>
!new Expense('festivalWeekendExpense')
!festivalWeekendExpense.amount := 850.00
!festivalWeekendExpense.startDate := Date('2024-11-05')
!festivalWeekendExpense.endDate := Date('2024-11-07')

!new Bill('festivalTicketBill')
!festivalTicketBill.amount := 300.00
!festivalTicketBill.category := 'Music Festival Ticket'
!festivalTicketBill.date := Date('2024-10-15')
!festivalTicketBill.paymentMethod := #CREDIT_CARD
!festivalTicketBill.status := #REFUNDED

!new Bill('hotelAccommodationBill')
!hotelAccommodationBill.amount := 350.00
!hotelAccommodationBill.category := 'Hotel Stay'
!hotelAccommodationBill.date := Date('2024-11-04')
!hotelAccommodationBill.paymentMethod := #CREDIT_CARD
!hotelAccommodationBill.status := #VALIDATED

!new Bill('souvenirShoppingBill')
!souvenirShoppingBill.amount := 200.00
!souvenirShoppingBill.category := 'Shopping for Souvenirs'
!souvenirShoppingBill.date := Date('2024-11-06')
!souvenirShoppingBill.paymentMethod := #CASH
!souvenirShoppingBill.status := #VERIFIED

!new Currency('currencyINR')
!currencyINR.name := 'Indian Rupee'
!currencyINR.abbreviation := 'INR'

!insert (festivalTicketBill, currencyINR) into BillCurrency
!insert (hotelAccommodationBill, currencyINR) into BillCurrency
!insert (souvenirShoppingBill, currencyINR) into BillCurrency

!insert (festivalWeekendExpense, festivalTicketBill) into ExpenseContainsBills
!insert (festivalWeekendExpense, hotelAccommodationBill) into ExpenseContainsBills
!insert (festivalWeekendExpense, souvenirShoppingBill) into ExpenseContainsBills

!new Comment('festivalExperience')
!festivalExperience.text := 'An unforgettable music experience; must return next year!'

!new Comment('refundIssue')
!refundIssue.text := 'Contact customer service to resolve ticket refund discrepancies.'

!insert (festivalWeekendExpense, festivalExperience) into ExpenseComment
!insert (festivalWeekendExpense, refundIssue) into ExpenseComment
</object_model>
No judge system prompt available
No judge user prompt available
Bill.paymentMethod
Evenness (active groups) = 0.9183 Evenness (all groups) = 0.5794
2
CREDIT_CARD
0
CHECK
1
CASH
Bill.status
Evenness (active groups) = 1.0000 Evenness (all groups) = 0.6131
0
DRAFT
0
PENDING
1
VERIFIED
1
VALIDATED
0
REFUSED
1
REFUNDED
LLM as a Judge
Unrealistic

The financial amounts assigned to the bills (300.00 for a music festival ticket and 350.00 for a hotel stay) are completely implausible when paired with the chosen currency 'Indian Rupee' (INR). 350 INR is approximately $4 USD, which is far too low for standard real-world pricing of these services, indicating a severe mismatch between the numerical values and the assigned currency.

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 $0.10
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 0/37
Multiplicities 0/8
Invariants 0/2
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 100.0%
String Equals 100.0%
String LV 89.0%
Shannon (Active) 0.959 ± 0.041
Shannon (All) 0.596 ± 0.017
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 100.0%
Attributes 100.0%
Relationships 100.0%
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 7/∞
Attributes 22/22
Relationships 8/∞