Triple

T14142375
Position Surface form Disambiguated ID Type / Status
Subject Casemiro E350458 entity
Predicate placeOfBirth P1 FINISHED
Object São José dos Campos, Brazil E760809 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: São José dos Campos, Brazil | Statement: [Casemiro, placeOfBirth, São José dos Campos, Brazil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São José dos Campos, Brazil
Context triple: [Casemiro, placeOfBirth, São José dos Campos, 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. São José dos Campos chosen
    São José dos Campos is a major Brazilian city in the state of São Paulo known as an important hub for aerospace, technology, and industrial development.
  • C. 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.
  • D. Parque Tecnológico de São José dos Campos
    Parque Tecnológico de São José dos Campos is a major Brazilian science and technology park that fosters innovation, research, and collaboration among companies, universities, and government institutions, particularly in aerospace and high-tech industries.
  • 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 (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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de611ed3508190add37baa30d1d134 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2802ba608190849313ff2661cd07 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 12:48 a.m.