Triple

T10239526
Position Surface form Disambiguated ID Type / Status
Subject Boris Diaw E243550 entity
Predicate leaguePlayedIn P2209 FINISHED
Object LNB Pro A E309573 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: LNB Pro A | Statement: [Boris Diaw, leaguePlayedIn, LNB Pro A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LNB Pro A
Context triple: [Boris Diaw, leaguePlayedIn, LNB Pro A]
  • A. LNB Pro A chosen
    LNB Pro A is the top-tier professional men's basketball league in France.
  • B. 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.
  • C. B3 League
    The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
  • D. B2 League
    The B2 League is the second-tier professional basketball league in Japan, sitting just below the top-level B.League.
  • E. Israeli Basketball Premier League
    The Israeli Basketball Premier League is the top-tier professional basketball league in Israel, featuring the country’s leading clubs and serving as a prominent competition in European basketball.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21ca3008190bfbde4074b37592d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f776464881908957e1ac4b49d936 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:23 a.m.