Triple

T11973531
Position Surface form Disambiguated ID Type / Status
Subject Brusque E284978 entity
Predicate governingBody P46 FINISHED
Object Municipality of Brusque E284978 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: Municipality of Brusque | Statement: [Brusque, governingBody, Municipality of Brusque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Municipality of Brusque
Context triple: [Brusque, governingBody, Municipality of Brusque]
  • A. Brusque chosen
    Brusque is a city in the Brazilian state of Santa Catarina known for its strong German-Brazilian heritage and textile industry.
  • B. Tenjo Municipality
    Tenjo Municipality is a town and municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the country's capital.
  • C. Baião Municipality
    Baião Municipality is a local administrative region in northern Portugal known for its rural landscapes, traditional villages, and location within the Porto metropolitan area.
  • D. Mourão Municipality
    Mourão Municipality is a small administrative region in the Alentejo area of southern Portugal, known for its rural landscapes and proximity to the Alqueva Reservoir.
  • E. Municipality of Caucaia
    The Municipality of Caucaia is a local government district in the state of Ceará, Brazil, encompassing the city of Caucaia and its surrounding areas.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9039107e48190ae4c4efd6257dd3c completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4598d62a8819087f83912d1e45b27 completed May 1, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:46 p.m.