Published September 4, 2026 | Version 4.6.0

YAGO knowledge base

  • 1. ROR icon Institut Polytechnique de Paris
  • 2. Télécom Paris

Description

YAGO is a knowledge base, i.e., a database with knowledge about the real world. YAGO contains both entities (such as movies, people, cities, countries, etc.) and relations between these entities (who played in which movie, which city is located in which country, etc.). 

YAGO arranges its entities into classes: Elvis Presley belongs to the class of people, Paris belongs to the class of cities, and so on. These classes are arranged in a taxonomy: The class of cities is a subclass of the class of populated places, this class is a subclass of geographical locations, etc.

YAGO feeds from Wikidata. Different from Wikidata, YAGO defines constraints (e.g., a birthPlace can be only a place), and enforces them. With this, YAGO can be seen as a curated, cleaned, and logically consistent subset of Wikidata.

For more information, see https://yago-knowledge.org

 

Files

yago-4.6-beyond-wikipedia-labels.zip

Files (9.8 GB)

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Additional details

Related works

Is described by
Dataset: https://yago-knowledge.org (URL)

Funding

Agence Nationale de la Recherche
ANR-23-IACL-0005

Dates

Copyrighted
2026-09-04

Software

Repository URL
https://github.com/yago-naga/yago-4.6
Programming language
Python