Triple

T22885463
Position Surface form Disambiguated ID Type / Status
Subject Nenê E567591 entity
Predicate placeOfBirth P1 FINISHED
Object São Carlos, São Paulo, Brazil NE NERFINISHED

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: São Carlos, São Paulo, Brazil | Statement: [Nenê, placeOfBirth, São Carlos, São Paulo, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Carlos, São Paulo, Brazil
Context triple: [Nenê, placeOfBirth, São Carlos, São Paulo, Brazil]
  • A. São José dos Campos, Brazil
    São José dos Campos, Brazil is a major industrial and technological hub in the state of São Paulo, known especially for its aerospace industry and research institutions.
  • B. Barueri, São Paulo, Brazil
    Barueri is a rapidly growing municipality in the São Paulo metropolitan area known for its major business district Alphaville and as a hub for corporate headquarters in Brazil.
  • C. São Carlos chosen
    São Carlos is a Brazilian city in the state of São Paulo known as a major university and technology hub, hosting important campuses and research centers.
  • D. Tietê, São Paulo, Brazil
    Tietê is a municipality in the state of São Paulo, Brazil, known as the birthplace of former Brazilian president Michel Temer.
  • E. São Caetano do Sul, Brazil
    São Caetano do Sul is a highly industrialized and affluent city in the São Paulo metropolitan area of Brazil, known for its strong automotive manufacturing sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc0cdb081908107d40069d9735f completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.