Triple

T6504866
Position Surface form Disambiguated ID Type / Status
Subject Ubajara National Park E149982 entity
Predicate nearestCity P350 FINISHED
Object Viçosa do Ceará E576671 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: Viçosa do Ceará | Statement: [Ubajara National Park, nearestCity, Viçosa do Ceará]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viçosa do Ceará
Context triple: [Ubajara National Park, nearestCity, Viçosa do Ceará]
  • A. Viçosa do Ceará chosen
    Viçosa do Ceará is a historic municipality in the Brazilian state of Ceará, known for its preserved colonial architecture, mild plateau climate, and scenic mountain landscapes.
  • B. Itapipoca
    Itapipoca is a municipality in the northeastern Brazilian state of Ceará, known for its diverse landscapes that include beaches, mountains, and semi-arid hinterlands.
  • C. Nova Olinda (Ceará)
    Nova Olinda (Ceará) is a small municipality in the interior of the Brazilian state of Ceará, known for its rural landscape and location in the Cariri region.
  • D. Limoeiro do Norte
    Limoeiro do Norte is a municipality in northeastern Brazil known for its agricultural production and location in the state of Ceará.
  • E. Cariri
    Cariri is a microregion in the state of Ceará, Brazil, known for its cultural heritage, religious tourism, and distinctive semi-arid landscapes.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69965c8448190b9eb0c50711dd44f completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb43db608190b785e77f6850bb6f completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:42 p.m.