Triple

T22615142
Position Surface form Disambiguated ID Type / Status
Subject Alto Oeste Potiguar E558123 entity
Predicate hasMunicipality P847 FINISHED
Object Caraúbas 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: Caraúbas | Statement: [Alto Oeste Potiguar, hasMunicipality, Caraúbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caraúbas
Context triple: [Alto Oeste Potiguar, hasMunicipality, Caraúbas]
  • A. Caraúbas chosen
    Caraúbas is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • B. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • C. Arapiraca
    Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
  • D. Aracati
    Aracati is a historic coastal city in northeastern Brazil known for its colonial architecture and nearby Canoa Quebrada beach.
  • E. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • 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.