Triple

T23136797
Position Surface form Disambiguated ID Type / Status
Subject Instituto Tomie Ohtake E577344 entity
Predicate region P40 FINISHED
Object state of São Paulo 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: state of São Paulo | Statement: [Instituto Tomie Ohtake, region, state of São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of São Paulo
Context triple: [Instituto Tomie Ohtake, region, 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. Prefecture of São Paulo
    The Prefecture of São Paulo is the municipal government authority responsible for administering the city of São Paulo, Brazil.
  • C. 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.
  • D. Goiás
    Goiás is a large inland state in central Brazil known for its agricultural production, Cerrado savanna landscapes, and the regional capital city of Goiânia.
  • E. Paulista
    Paulista is a coastal city in the northeastern Brazilian state of Pernambuco, known for its beaches and proximity to the Recife metropolitan area.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8c33308190a44f98a7aab3b670 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.