Triple

T14837434
Position Surface form Disambiguated ID Type / Status
Subject Luis Scola E348867 entity
Predicate playedFor P2170 FINISHED
Object Baskonia E694651 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: Baskonia | Statement: [Luis Scola, playedFor, Baskonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baskonia
Context triple: [Luis Scola, playedFor, 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. 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.
  • C. Valencia Basket
    Valencia Basket is a professional basketball club based in Valencia, Spain, known for competing in Spain’s top league and European competitions.
  • D. 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.
  • E. FC Barcelona Bàsquet
    FC Barcelona Bàsquet is the professional basketball section of FC Barcelona, one of Spain and Europe's most successful and storied basketball clubs.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28d0ddc8190a34e3e2d469ab762 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.