Triple

T15118339
Position Surface form Disambiguated ID Type / Status
Subject Lazio E361099 entity
Predicate nickname P55 FINISHED
Object Biancocelesti E128524 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: Biancocelesti | Statement: [Lazio, nickname, Biancocelesti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biancocelesti
Context triple: [Lazio, nickname, Biancocelesti]
  • A. Biancocelesti chosen
    Biancocelesti is the traditional nickname for Italian football club S.S. Lazio, referring to the team’s white and sky-blue colors.
  • B. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • C. Branco
    Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
  • D. Branquiazuis
    Branquiazuis is a popular nickname for the Spanish football club Deportivo de La Coruña, referring to the team's traditional blue and white colors.
  • E. Biancorossi
    Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059ca9048190b742e70e818ee64f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f0bb80819080250580466a070a completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.