Triple

T8643104
Position Surface form Disambiguated ID Type / Status
Subject Kalidou Koulibaly E204702 entity
Predicate clubCareerStart P78185 FINISHED
Object FC Metz E359885 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: FC Metz | Statement: [Kalidou Koulibaly, clubCareerStart, FC Metz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Metz
Context triple: [Kalidou Koulibaly, clubCareerStart, FC Metz]
  • A. FC Metz chosen
    FC Metz is a French professional football club based in Metz, known for competing in Ligue 1 and for its intense regional rivalry with RC Strasbourg Alsace.
  • B. FC Sochaux-Montbéliard
    FC Sochaux-Montbéliard is a historic French football club known for its long-standing presence in the national leagues and its origins as a works team of the Peugeot company.
  • C. FC Nantes
    FC Nantes is a French professional football club based in Nantes, renowned for its successful history in Ligue 1 and its distinctive attacking style of play.
  • D. FC Lyon
    FC Lyon is a historic French football club based in Lyon, known as one of the country’s older sporting institutions.
  • E. LOSC Lille
    LOSC Lille is a professional French football club based in the Lille metropolitan area that competes in Ligue 1 and has won multiple national titles.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc479720f481908ee2b12c2775e76a completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
Created at: March 30, 2026, 6:28 p.m.