Triple

T13528578
Position Surface form Disambiguated ID Type / Status
Subject São José Esporte Clube (women) E323073 entity
Predicate basedIn P40 FINISHED
Object São José dos Campos 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 | Statement: [São José Esporte Clube (women), basedIn, São José dos Campos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São José dos Campos
Context triple: [São José Esporte Clube (women), basedIn, São José dos Campos]
  • A. 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.
  • B. Campinas
    Campinas is a major city in the state of São Paulo, Brazil, known as an important industrial, technological, and transportation hub in the country.
  • C. Guarulhos
    Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
  • D. São Carlos
    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.
  • E. Campo Limpo Paulista
    Campo Limpo Paulista is a municipality in the metropolitan region of São Paulo, Brazil, known for its residential character and proximity to major industrial and urban centers.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19259070819089bd3caf66e5af29 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 9:44 p.m.