Triple

T21630372
Position Surface form Disambiguated ID Type / Status
Subject Javier Aguirre E533812 entity
Predicate coachOf P2169 FINISHED
Object CA Osasuna 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: CA Osasuna | Statement: [Javier Aguirre, coachOf, CA Osasuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA Osasuna
Context triple: [Javier Aguirre, coachOf, CA Osasuna]
  • A. Osasuna chosen
    Osasuna is a Spanish professional football club based in Pamplona, Navarre, known for competing in La Liga and its passionate regional fanbase.
  • B. Algeciras CF
    Algeciras CF is a Spanish football club based in Algeciras, Andalusia, competing in the lower divisions of the national league system.
  • C. Elche CF
    Elche CF is a Spanish professional football club based in Elche, Valencian Community, that competes in the country’s football league system and has a history of playing in La Liga.
  • D. Burgos CF
    Burgos CF is a Spanish football club based in the city of Burgos, known for competing in the country’s professional leagues and maintaining regional rivalries such as with Real Valladolid.
  • E. Córdoba CF
    Córdoba CF is a Spanish football club based in the city of Córdoba, Andalusia, that has spent much of its history competing in the country’s lower professional 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.