GPTKB is a large general-domain knowledge base (KB) entirely from a large language model (LLM). It demonstrates the feasibility of large-scale KB construction from LLMs, while highlighting specific challenges arising around entity recognition, entity and property canonicalization, and taxonomy construction.
Based on GPT-4.1, GPTKB contains 100 million triples for more than 6.1 million entities, at a cost 10x less than previous KBC projects. GPTKB is a landmark for two fields:
- For NLP, for the first time, it provides constructive insights into the knowledge (or beliefs) of LLMs.
- For the Semantic Web, it shows novel ways forward for the long-standing challenge of general-domain KB construction.
This repository contains the code for KB construction from LLMs to materialize entity-centric parametric knowledge of LLMs.
Check out our project page for more details and demonstrations: https://gptkb.org/.
Please use Python 3.11+. Install the required packages by running:
pip install -r requirements.txtDon't forget to have your OpenAI API key in the environment variable
OPENAI_API_KEY.
- See the knowledge elicitation folder for instructions on how to run the knowledge elicitation phase.
- See the knowledge consolidation folder for instructions on how to run the knowledge consolidation phase.
If you use this work please cite our paper:
@InProceedings{GPTKB,
title={Enabling LLM Knowledge Analysis via Extensive Materialization},
author={Hu, Yujia and Nguyen, Tuan-Phong and Ghosh, Shrestha and Razniewski, Simon},
year={2025},
booktitle={ACL},
}