A multi-agent LLM architecture with four artifact-driven roles produces ontologies from insurance contracts that have significantly better structural quality and modestly better queryability than a single-agent baseline, with gains driven by front-loaded planning.
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Towards Automated Ontology Generation from Unstructured Text: A Multi-Agent LLM Approach
A multi-agent LLM architecture with four artifact-driven roles produces ontologies from insurance contracts that have significantly better structural quality and modestly better queryability than a single-agent baseline, with gains driven by front-loaded planning.