Triple

T17550678
Position Surface form Disambiguated ID Type / Status
Subject Chorale Roanne Basket E427452 entity
Predicate league P888 FINISHED
Object LNB Pro A NE NERFINISHED

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: LNB Pro A | Statement: [Chorale Roanne Basket, league, LNB Pro A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LNB Pro A
Context triple: [Chorale Roanne Basket, league, LNB Pro A]
  • A. LNB Pro A chosen
    LNB Pro A is the top-tier professional men's basketball league in France.
  • B. LNB Pro B
    LNB Pro B is the second-tier professional men's basketball league in France, sitting just below the top-level LNB Pro A.
  • C. Serie A2 Basket
    Serie A2 Basket is the second-highest professional basketball league in Italy, sitting just below the top-tier Lega Basket Serie A.
  • D. Lega Basket Serie A
    Lega Basket Serie A is Italy’s top professional basketball league, featuring the country’s premier clubs and serving as a key stage for European and international talent.
  • E. B3 League
    The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.