Triple

T8277370
Position Surface form Disambiguated ID Type / Status
Subject Clube de Campo de Valinhos E193579 entity
Predicate locatedIn P40 FINISHED
Object Valinhos, São Paulo E364624 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: Valinhos, São Paulo | Statement: [Clube de Campo de Valinhos, locatedIn, Valinhos, São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valinhos, São Paulo
Context triple: [Clube de Campo de Valinhos, locatedIn, Valinhos, São Paulo]
  • A. Valinhos chosen
    Valinhos is a municipality in southeastern Brazil known for its agricultural production, especially grapes and figs, and its proximity to the city of Campinas.
  • B. 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.
  • C. Butantã, São Paulo
    Butantã is a district in western São Paulo best known for hosting the main campus of the University of São Paulo and several major research and cultural institutions.
  • D. Taubaté
    Taubaté is a historic industrial and educational city in southeastern Brazil, located in the Paraíba Valley between São Paulo and Rio de Janeiro.
  • E. Jundiaí
    Jundiaí is a mid-sized industrial and logistics city in southeastern Brazil known for its strong economy and high quality of life.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ea3fb481908b59414702a5147e completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6859cbc48190835dffa7de054d15 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:51 p.m.