Triple

T12350919
Position Surface form Disambiguated ID Type / Status
Subject Reggiana E294481 entity
Predicate nickName P2937 FINISHED
Object Granata E360282 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: Granata | Statement: [Reggiana, nickName, Granata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granata
Context triple: [Reggiana, nickName, Granata]
  • A. Granata chosen
    Granata is the traditional nickname of Italian football club Torino F.C., derived from the club’s iconic maroon-colored kit.
  • B. Porto Azzurro
    Porto Azzurro is a picturesque coastal town and popular tourist resort on the Italian island of Elba, known for its scenic harbor and historic charm.
  • C. Biancoscudati
    Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
  • D. Bianconeri
    Bianconeri is the traditional black-and-white–striped nickname used for Udinese Calcio, reflecting the club’s historic colors and identity in Italian football.
  • E. 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.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7cbff08190849cd2aec4ce3243 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab066108190bba8eca95d3e0a81 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.