Triple

T18567950
Position Surface form Disambiguated ID Type / Status
Subject Olimpia Milano E453803 entity
Predicate hasWon P2624 FINISHED
Object Coppa Italia 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: Coppa Italia | Statement: [Olimpia Milano, hasWon, Coppa Italia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coppa Italia
Context triple: [Olimpia Milano, hasWon, Coppa Italia]
  • A. Coppa Italia
    The Coppa Italia is Italy's premier annual national football cup competition, contested by clubs from multiple tiers of the Italian league system.
  • B. Italian Cup chosen
    The Italian Cup is Italy's premier national basketball cup competition, featuring top professional clubs in a knockout tournament format.
  • C. Supercoppa Italiana
    The Supercoppa Italiana is an annual Italian football match that traditionally pits the Serie A champions against the Coppa Italia winners as a curtain-raiser to the domestic season.
  • D. Coppa Acerbo
    Coppa Acerbo was a historic Italian Grand Prix–style motor race held near Pescara, renowned in the pre- and post-war eras for its long, challenging road circuit.
  • E. Coppa Italia Femminile
    Coppa Italia Femminile is Italy’s premier national women’s football cup competition, featuring top clubs from across the country in a knockout format.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53affc3e08190b4d16b5ccb0bddbc completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.