Triple

T15870120
Position Surface form Disambiguated ID Type / Status
Subject Robert Pirès E384809 entity
Predicate playedForClub P2168 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: [Robert Pirès, playedForClub, FC Metz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FC Metz
Context triple: [Robert Pirès, playedForClub, 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f915788190a8efc3b3380cb829 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94a4d208190805d33da0e433092 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.