Triple

T8708900
Position Surface form Disambiguated ID Type / Status
Subject Bourges E206721 entity
Predicate hasSportsTeam P330 FINISHED
Object Bourges Basket E490295 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: Bourges Basket | Statement: [Bourges, hasSportsTeam, Bourges Basket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bourges Basket
Context triple: [Bourges, hasSportsTeam, Bourges Basket]
  • A. Bourges Basket chosen
    Bourges Basket is a prominent French professional women's basketball club based in Bourges, renowned for its multiple national and European titles.
  • B. JL Bourg Basket
    JL Bourg Basket is a professional French basketball club competing in the country’s top leagues and European competitions.
  • C. Cholet Basket
    Cholet Basket is a professional French basketball club known for developing top talent, including future NBA players, and competing in the country’s top-tier league.
  • D. Le Mans Sarthe Basket
    Le Mans Sarthe Basket is a professional French basketball club based in Le Mans that competes in the country’s top-tier league and European competitions.
  • E. Chorale Roanne Basket
    Chorale Roanne Basket is a professional French basketball club based in Roanne, known for competing in the country’s top leagues and national competitions.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58ffa6a481908866b6239d1d9b92 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28b78e90819098ab1d4877ab88fe completed April 3, 2026, 2:40 a.m.
Created at: March 30, 2026, 6:35 p.m.