Triple

T14557077
Position Surface form Disambiguated ID Type / Status
Subject Mantova 1911 E341566 entity
Predicate nickName P2937 FINISHED
Object Biancorossi E1004647 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: Biancorossi | Statement: [Mantova 1911, nickName, Biancorossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biancorossi
Context triple: [Mantova 1911, nickName, Biancorossi]
  • A. Biancorossi chosen
    Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
  • B. Biancoscudati
    Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
  • C. Tigri Bianche
    Tigri Bianche was an Italian Air Force aerobatic display team that operated before and was eventually succeeded by the modern Frecce Tricolori squadron.
  • D. Biancocelesti
    Biancocelesti is the traditional nickname for Italian football club S.S. Lazio, referring to the team’s white and sky-blue colors.
  • E. Al Bianchi
    Al Bianchi was an American professional basketball coach and former NBA player best known for his coaching and front-office roles in the ABA and NBA.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.