A prompt-based LLM pipeline infers entity type hierarchies, conceptual attributes, and inter-type relationships from raw tables, and reports improved or comparable quality over embedding baselines on two tabular benchmarks.
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Conceptual Schema Inference for Tabular Datasets using Large Language Models
A prompt-based LLM pipeline infers entity type hierarchies, conceptual attributes, and inter-type relationships from raw tables, and reports improved or comparable quality over embedding baselines on two tabular benchmarks.