Triple

T2809225
Position Surface form Disambiguated ID Type / Status
Subject Gianluigi Buffon E54126 entity
Predicate leagueParticipatedIn P2209 FINISHED
Object Ligue 1 E66666 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ligue 1 | Statement: [Gianluigi Buffon, leagueParticipatedIn, Ligue 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ligue 1
Context triple: [Gianluigi Buffon, leagueParticipatedIn, Ligue 1]
  • A. Ligue 1 chosen
    Ligue 1 is France’s top professional football division, featuring the country’s leading clubs in the highest tier of its league system.
  • B. Ligue 2
    Ligue 2 is the second tier of professional football in the French league system, sitting directly below Ligue 1.
  • C. Coupe de France
    The Coupe de France is the premier national knockout football cup competition in France, open to clubs at all levels of the French football league system.
  • D. Coupe de la Ligue
    The Coupe de la Ligue was a now-defunct French professional football league cup competition organized by the Ligue de Football Professionnel and contested primarily by clubs from the top tiers of French football.
  • E. France Football
    France Football is a French weekly magazine specializing in football that is best known as the long-time organizer and presenter of the prestigious Ballon d'Or award.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde3165b48190a43be5e6ad23deca completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08639b9108190badd8d22aaf74544 completed March 10, 2026, 8:59 p.m.
Created at: March 6, 2026, 9:59 p.m.