Triple

T12312405
Position Surface form Disambiguated ID Type / Status
Subject Itu E293512 entity
Predicate locatedIn P40 FINISHED
Object State of São Paulo E60066 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: State of São Paulo | Statement: [Itu, locatedIn, State of São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of São Paulo
Context triple: [Itu, locatedIn, 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. 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.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac706dc4819093f06b368f03fe02 completed May 6, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:53 p.m.