Triple

T2633995
Position Surface form Disambiguated ID Type / Status
Subject BRSAO E59700 entity
Predicate locatesSubdivision P747 FINISHED
Object State of São Paulo E60066 NE FINISHED

How this triple was built (3 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: State of São Paulo | Statement: [BRSAO, locatesSubdivision, State of São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of São Paulo
Context triple: [BRSAO, locatesSubdivision, State of São Paulo]
  • A. state of São Paulo chosen
    The state of São Paulo is Brazil’s most populous and economically developed state, centered on its capital city of São Paulo, a major global financial and cultural hub.
  • B. State of Rio de Janeiro
    The State of Rio de Janeiro is a coastal state in southeastern Brazil known for its capital city of Rio de Janeiro, major ports, tourism, and significant cultural and economic influence.
  • C. Minas Gerais
    Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
  • D. Paulista
    Paulista is a coastal city in the northeastern Brazilian state of Pernambuco, known for its beaches and proximity to the Recife metropolitan area.
  • E. Paraná state
    Paraná state is a southern Brazilian state known for its diverse landscapes, major agricultural production, and popular natural attractions including part of the Iguaçu National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatesSubdivision
Context triple: [BRSAO, locatesSubdivision, State of São Paulo]
  • A. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • B. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • C. governingSubdivision
    Indicates that one administrative or political unit serves as the governing authority over a smaller, subordinate territorial subdivision.
  • D. partOfCountrySubdivision
    Indicates that one geographic or administrative unit is contained within and forms a component part of a larger country subdivision.
  • E. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • F. None of above.

Provenance (4 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc39f8a48190bddc14920896ad5b completed March 11, 2026, 5:23 a.m.
PD Predicate disambiguation batch_69abd812849881908f956845a80e0205 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.