Triple

T8009995
Position Surface form Disambiguated ID Type / Status
Subject Atalanta BC E186463 entity
Predicate nickname P55 FINISHED
Object Nerazzurri E75303 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: Nerazzurri | Statement: [Atalanta BC, nickname, Nerazzurri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nerazzurri
Context triple: [Atalanta BC, nickname, Nerazzurri]
  • A. Biancazzurri
    Biancazzurri is the traditional nickname of Italian football club Delfino Pescara 1936, referring to the team’s white-and-light-blue colors.
  • B. Azzurrini
    Azzurrini is the popular nickname for Italy’s national under-21 football team, highlighting its status as the youthful counterpart to the senior Azzurri side.
  • C. Biancoscudati
    Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
  • D. Inter Milan chosen
    Inter Milan is a professional Italian football club based in Milan, renowned for its success in Serie A and European competitions.
  • E. Diavoli Rossi
    Diavoli Rossi was an Italian Air Force aerobatic display team that preceded and helped pave the way for 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.