Knowledge-aware-AI/GPTKB
Code for KB construction from LLMs - ACL 2025 paper: "Enabling LLM Knowledge Analysis via Extensive Materialization""
This project helps researchers analyze and understand the vast amount of information contained within large language models like GPT-4.1. It takes a large language model and outputs a structured knowledge base of facts, organized as 'triples' (subject-predicate-object). This is for natural language processing researchers or Semantic Web specialists who want to study how LLMs store and organize their knowledge, or to build new knowledge bases more efficiently.
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Use this if you are an NLP or Semantic Web researcher interested in extracting, analyzing, and structuring the explicit factual knowledge embedded within large language models.
Not ideal if you are looking for a tool to directly enhance an existing application's knowledge base or for everyday data extraction tasks without a research focus.
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Language
Python
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CC-BY-4.0
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Last pushed
Oct 02, 2025
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