Triple

T3184439
Position Surface form Disambiguated ID Type / Status
Subject Ligue 1 E66666 entity
Predicate organizer P123 FINISHED
Object Ligue de Football Professionnel E334362 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 de Football Professionnel | Statement: [Ligue 1, organizer, Ligue de Football Professionnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ligue de Football Professionnel
Context triple: [Ligue 1, organizer, Ligue de Football Professionnel]
  • A. Ligue de Football Professionnel chosen
    The Ligue de Football Professionnel is the organization that oversees and manages France’s top professional football leagues and related competitions.
  • B. Ligue 1
    Ligue 1 is France’s top professional football division, featuring the country’s leading clubs in the highest tier of its league system.
  • C. 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.
  • D. Ligue 2
    Ligue 2 is the second tier of professional football in the French league system, sitting directly below Ligue 1.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6bfc4248190af320471688c60f0 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b777fe881909764e2f2cdb68479 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.