Researchers have been exploring the use of Large Language Models (LLMs) to construct Ontologies and Knowledge Graphs (KGs) (Kommineni et al., 2024). Traditionally reliant on human expertise, this process can benefit from LLMs such as GPT-3 and RAG (Retrieval-Augmented-Generation) to handle tasks like formulating competency questions and evaluating KGs, potentially reducing human effort.

**Key Findings:

• Competency questions (CQs)** can be formulated using LLMs.
• Development of ontology (TBox) is streamlined by LLM-aided CQs.
• Construction of KGs can be automated with LLM-generated content.
• Judge LLM can rate the quality of content against ground truth.

This research underscores the importance of AI in automating complex cognitive tasks and opens up possibilities for further automation in the creation of rich, structured datasets.