Triple

T22243903
Position Surface form Disambiguated ID Type / Status
Subject Carlos Delfino E549791 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Baskonia 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: Baskonia | Statement: [Carlos Delfino, memberOfSportsTeam, Baskonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baskonia
Context triple: [Carlos Delfino, memberOfSportsTeam, Baskonia]
  • A. Baskonia chosen
    Baskonia is a prominent professional basketball club based in Vitoria-Gasteiz, Spain, known for competing in the Spanish Liga ACB and the EuroLeague.
  • B. Bilbao Basket
    Bilbao Basket is a professional basketball club based in Bilbao, Spain, competing in the country’s top leagues and known for its passionate fan base and regional rivalries.
  • C. Real Madrid Baloncesto
    Real Madrid Baloncesto is the professional basketball team of Real Madrid CF, renowned as one of Europe’s most successful and decorated basketball clubs.
  • D. Valencia Basket
    Valencia Basket is a professional basketball club based in Valencia, Spain, known for competing in Spain’s top league and European competitions.
  • E. Gijón Baloncesto
    Gijón Baloncesto was a Spanish professional basketball club based in Gijón, Asturias, that competed in the country’s top leagues before its dissolution.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1321655b0819091f1ddf06c67f3c2 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.