Triple

T22615143
Position Surface form Disambiguated ID Type / Status
Subject Alto Oeste Potiguar E558123 entity
Predicate hasMunicipality P847 FINISHED
Object Apodi 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: Apodi | Statement: [Alto Oeste Potiguar, hasMunicipality, Apodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apodi
Context triple: [Alto Oeste Potiguar, hasMunicipality, Apodi]
  • A. Apodi chosen
    Apodi is a municipality in the state of Rio Grande do Norte in Brazil, known for its agricultural activities and the nearby Apodi Plateau.
  • B. Barra do Corda
    Barra do Corda is a municipality in the Brazilian state of Maranhão, known for its location in the interior region and its role as a local commercial and cultural center.
  • C. Estância Velha
    Estância Velha is a municipality in the state of Rio Grande do Sul in southern Brazil, known historically for its leather and footwear industry.
  • D. Cumbuco
    Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
  • E. Teresina
    Teresina is the capital and largest city of the Brazilian state of Piauí, known for its hot climate and location near the confluence of the Parnaíba and Poti rivers.
  • 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.