# Preprint describes million-scale LLM-native knowledge base

_Published Thursday, September 3, 2026 at 6:06 AM EDT · AI, Science · Latest · Tier 2 — Notable_

A new preprint describes GPTKB 2.0, a method for building a disambiguated knowledge base directly from large language models. The authors report a materialized database with more than 1 million disambiguated entities and 38.4 million triples, using on-the-fly disambiguation of entities, relations and classes. They characterize trade-offs among accuracy, scale and cost, and say the method and associated resource are available online. The work has not been independently validated.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2608.03729)

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Canonical: https://techandbusiness.org/newswire/1VzSMC3fUIgFp_bW57MLmF
Published: 2026-09-03T10:06:24.513Z
Story chronology: 2026-09-03T04:00:00.000Z
Retrieved: 2026-10-18T18:17:44.753Z
Publisher: Tech & Business (techandbusiness.org)