Datasets › GPTKB

GPTKB

Introduced by Yujia Hu et al. in Enabling LLM Knowledge Analysis via Extensive Materialization7 Nov 2024 archive 2025-07-28

GPTKB is a large general-domain knowledge base (KB) constructed 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-4o-mini, GPTKB contains 105 million triples for more than 2.9 million entities, at a cost 100x less than previous KBC projects.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC BY-NC 4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GPTKB

1 variant name, as the archive lists them.

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