pro-team at LLMs4OL-2026 (Task A & Task B)

[shivam07041]

Team Information

Team Name: pro-team

Challenge: LLMs4OL 2026

Tasks:

• Task A: Flagship
• Task B: Reuse

Submission Type:
Script-Based Submission

TeamPro_Integration_OntoLearner.zip

GitHub Repository:
https://github.com/shivam07041/team-pro-integration_OntoLearner_Submission

Description:
This submission follows the script-based integration guidelines for the LLMs4OL 2026 System Integration Phase. The repository includes the complete implementation, README, requirements, unit tests, and entry point (main.py). The ZIP archive of the project is attached.

[HamedBabaei]

Dear @shivam07041, thanks for the submission. I will mark your submissions as a completed. We will use this submission to do the integration.

[HamedBabaei]

System Integration Submission Checklist

Team Name: pro-team
Challenge Variant: LLMs4OL 2026 Flagship task and Reuse task
Submission Type: Script Integration

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General Requirements

• Team name and challenge variant are included in the issue (or PR) title.
• The submission is complete and executable.
• Unit tests are included for the core system components.
• A methodological diagram is included.
• A link to the project GitHub repository is included.

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Script-Based Submission

Project Structure

• All source files are placed in the project root (no nested directories).
• main.py is provided as the primary entry point.
• Additional entry files (main1.py, main2.py, etc.) are provided if multiple variants exist.
• requirements.txt is included.
• README.md is included.
• unittest.py is included.

Documentation

• README explains how to run the system.
• README briefly describes the purpose of each script.
• README documents multiple entry points (if applicable).

Unit Testing

• unittest.py covers the critical modules.

Submission

• Project is packaged as a ZIP archive.

Additional Information

• Methodological Diagram:
• Project Repository: https://github.com/shivam07041/team-pro-integration_OntoLearner_Submission
• Additional Notes:

This comment will be updated based on integration progress and checking the submissions. This will be on the OntoLearner Team, and there will be no need for the authors to do so. Unless you (as a co-author) want to add more information or want to be involved in the integration process.