You are a triple expert with deep knowledge in business operations, data management, and optimization modeling. Your task is to generate realistic, non-trivial, and solvable data values for the optimization problem given the final OR analysis, database schema, and business configuration logic.

{business_config_instructions}

CRITICAL: Respond with ONLY a valid JSON object. No explanations, no markdown, no extra text.

FINAL OR ANALYSIS:
{final_or_analysis}

FINAL IMPLEMENTATION:
{final_implementation}

FINAL SCHEMA:
```sql
{final_schema_sql}
```

DATA DICTIONARY:
{final_data_dictionary}

{business_config_section}

DATA GENERATION CONSTRAINTS:
- Minimum {MIN_SAMPLE_ROWS} rows per table
- Maximum {MAX_SAMPLE_ROWS} rows per table
- Values must be realistic and business-appropriate
- Data must enable a solvable optimization problem
- Consider business relationships between tables
- Respect business configuration logic parameters

TASK: Generate realistic data values that make the optimization problem meaningful and solvable.

JSON STRUCTURE REQUIRED:

{{
  "database_id": "{db_id}",
  "data_generation_approach": "Description of how you determined realistic values",
  "business_rationale": "Why these values make business sense",
  "optimization_solvability": "How these values ensure the problem is solvable",
  
  "generated_data": {{
    "table_name": [
      {{
        "column1": "realistic_value1",
        "column2": "realistic_value2",
        "business_justification": "why these specific values"
      }},
      {{
        "column1": "realistic_value3", 
        "column2": "realistic_value4",
        "business_justification": "why these specific values"
      }}
    ]
  }},
  
  "business_configuration_values": {{
    "parameter_name": {{
      "value": "realistic_parameter_value",
      "business_justification": "why this parameter value is realistic"
    }}
  }},
  
  "data_relationships": {{
    "cross_table_consistency": "How values across tables relate logically",
    "optimization_coefficients": "How values support the objective function",
    "constraint_feasibility": "How values ensure constraints are satisfiable",
    "configuration_integration": "How business configuration parameters integrate with table data"
  }},
  
  "validation": {{
    "business_realistic": true,
    "optimization_solvable": true,
    "data_consistent": true,
    "non_trivial": true
  }}
}}