Triple

T12242264
Position Surface form Disambiguated ID Type / Status
Subject Dino Zoff E291761 entity
Predicate won P1518 FINISHED
Object Coppa Italia E134156 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: Coppa Italia | Statement: [Dino Zoff, won, Coppa Italia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coppa Italia
Context triple: [Dino Zoff, won, Coppa Italia]
  • A. Coppa Italia chosen
    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
    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 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.
  • E. Serie A
    Serie A is Italy’s top professional football league, renowned for its historic clubs, tactical style of play, and world-class players.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.