Triple

T22615139
Position Surface form Disambiguated ID Type / Status
Subject Alto Oeste Potiguar E558123 entity
Predicate hasMunicipality P847 FINISHED
Object Rafael Godeiro 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: Rafael Godeiro | Statement: [Alto Oeste Potiguar, hasMunicipality, Rafael Godeiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Godeiro
Context triple: [Alto Oeste Potiguar, hasMunicipality, Rafael Godeiro]
  • A. Rafael Godeiro chosen
    Rafael Godeiro is a small municipality located in the Central Potiguar region of the state of Rio Grande do Norte in northeastern Brazil.
  • B. Jorge Machado Moreira
    Jorge Machado Moreira was a prominent Brazilian modernist architect and urban planner known for his influential role in mid-20th-century Brazilian architecture.
  • C. José Nogueira
    José Nogueira was a prominent 19th-century Portuguese-Chilean businessman and pioneer of Patagonian development, whose wealth and legacy are closely tied to the history of Punta Arenas.
  • D. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • E. João Baldasserini
    João Baldasserini is a Brazilian actor known for his work in film, television, and theater.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167edec2481909c2f06607b3cb8f6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.