Given an optimization problem description and the nomenclature to be used for parameters.

Please generate a knowledge-graph.

Problem Description:
{problem_description}

Input Data:
{input_data}

Steps to Generate a Knowledge Graph (KG):

1. Identify Parameters:
- Extract each parameter individually, specifying its type and name.
- Ensure that parameter names are aligned with the predefined nomenclature.
- Record any explicit bounds for parameters, if specified.
- Validate against the problem description to ensure that all relevant parameters are included, checking for any implicitly stated ones.

2. Identify Variables:
- Identify each variable, noting their types and names.
- Align variable names with the nomenclature provided, ensuring consistency.
- Determine and document any bounds (explicit or inferred) for the variables.
- Cross-verify with the problem description to confirm all necessary variables are accounted for, including those not explicitly mentioned in the nomenclature.

3. Identify Constraints:
- Detail each constraint separately, recording its description, formula, and associated variables.
- Classify constraints based on their nature (e.g., linear, nonlinear, global etc..).
- Highlight if any constraints are global, impacting multiple variables or conditions across the model.

4. Identify Objective:
- Clearly define the objective function, including its description, mathematical representation, and the variables it affects.
- Note the type of optimization (minimization, maximization, satisfy) and any relevant constraints tied to the objective.
- Ensure the objective aligns with the overall goal of the optimization problem as described.

5. Generate Turtle (TTL) Representation:
- Construct the Turtle format representation using the gathered information on parameters, variables, constraints, and the objective.
- Sequentially organize the definitions of parameters, variables, constraints, and the objective within the Turtle file.
- Avoid generalizing the problem statement; focus on defining each component distinctly as outlined in the steps.

Please do not generate any other token other than the knowledge graph itself. No titles, description or markup necessary.