Triple

T2747899
Position Surface form Disambiguated ID Type / Status
Subject AJ Auxerre E60913 entity
Predicate league P888 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: [AJ Auxerre, league, Ligue 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ligue 1
Context triple: [AJ Auxerre, league, 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. 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.
  • D. Fédération Française de Football
    The Fédération Française de Football is the governing body of football in France, responsible for organizing national competitions and overseeing the French national teams.
  • E. Algerian Ligue Professionnelle 1
    The Algerian Ligue Professionnelle 1 is the top-tier professional football league in Algeria, featuring the country’s leading clubs competing for the national championship.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd341a88190ae0f5eb94a6fdc92 completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.