Triple

T2414337
Position Surface form Disambiguated ID Type / Status
Subject RCD Espanyol E52267 entity
Predicate shortName P43 FINISHED
Object Espanyol E52267 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: Espanyol | Statement: [RCD Espanyol, shortName, Espanyol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espanyol
Context triple: [RCD Espanyol, shortName, Espanyol]
  • A. RCD Espanyol chosen
    RCD Espanyol is a professional football club from Barcelona, Spain, known for competing in La Liga and being one of the city’s historic rivals to FC Barcelona.
  • B. Valencia CF
    Valencia CF is a historic Spanish football club based in Valencia that competes in La Liga and is known for its strong domestic and European pedigree.
  • C. Girona FC
    Girona FC is a Spanish professional football club based in Girona, Catalonia, that competes in La Liga.
  • D. Real Betis Balompié
    Real Betis Balompié is a historic Spanish professional football club based in Seville that competes in La Liga and is known for its passionate fanbase and green-and-white colors.
  • E. Barcelona Sporting Club
    Barcelona Sporting Club is one of Ecuador’s most successful and popular football teams, based in Guayaquil and renowned for its large fanbase and historic domestic achievements.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94a6458819087b8c4fe81a2d031 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7d18f88190bc19aa6b7b687b8e completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:41 p.m.