Triple

T6660088
Position Surface form Disambiguated ID Type / Status
Subject Pamplona E151451 entity
Predicate sportsClub P8194 FINISHED
Object CA Osasuna E318913 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: CA Osasuna | Statement: [Pamplona, sportsClub, CA Osasuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CA Osasuna
Context triple: [Pamplona, sportsClub, 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. Getafe CF
    Getafe CF is a Spanish professional football club based in the Madrid suburb of Getafe that competes in La Liga.
  • E. Albacete Balompié
    Albacete Balompié is a Spanish professional football club based in Albacete, known for competing in the country’s top divisions and for developing notable players such as Andrés Iniesta.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b071cc6c81909d7df1841c645661 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0738a88190802abaeb0ab0a927 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.