Triple

T10102839
Position Surface form Disambiguated ID Type / Status
Subject Fogão E216243 entity
Predicate clubNicknames P5076 FINISHED
Object Estrela Solitária E216249 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: Estrela Solitária | Statement: [Fogão, clubNicknames, Estrela Solitária]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estrela Solitária
Context triple: [Fogão, clubNicknames, Estrela Solitária]
  • A. Estrela Solitária chosen
    Estrela Solitária is the famous nickname of Brazilian football club Botafogo de Futebol e Regatas, referencing its iconic lone star emblem.
  • B. La Estrella
    La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • C. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • D. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • E. The Star
    The Star is a 1952 drama film starring Bette Davis as a fading Hollywood actress struggling with the loss of her fame and career.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6dcca848190851f6f1968fe244c completed April 5, 2026, 7:24 p.m.
Created at: March 30, 2026, 9:02 p.m.