Automated Knowledge Graph Construction Requires Rigorous Studies

The field of automated knowledge graph construction necessitates more in-depth and rigorous studies to assess its potential impact. While there are promising tools for extracting triples from text using large language models (LLMs), the quality is not yet at the level of specialized models. Academic studies and practical applications need to demonstrate the value of knowledge graphs in enhancing question answering and information retrieval systems.