Triple

T22431372
Position Surface form Disambiguated ID Type / Status
Subject Central Potiguar E554506 entity
Predicate containsMunicipality P852 FINISHED
Object Jucurutu 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: Jucurutu | Statement: [Central Potiguar, containsMunicipality, Jucurutu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jucurutu
Context triple: [Central Potiguar, containsMunicipality, Jucurutu]
  • A. Jucurutu chosen
    Jucurutu is a municipality in the state of Rio Grande do Norte in Brazil’s Northeast region.
  • B. Iguaba Grande
    Iguaba Grande is a municipality in the state of Rio de Janeiro, Brazil, known for its lakeside setting, ecological reserves, and tranquil small-town atmosphere.
  • C. Bico do Papagaio
    Bico do Papagaio is a prominent rocky peak and popular hiking destination within Rio de Janeiro’s Tijuca Forest, known for its parrot-beak-shaped summit and panoramic city views.
  • D. Parangolé
    Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
  • E. Garupá
    Garupá is a town in northeastern Argentina’s Misiones Province that forms part of the greater Posadas urban and commuter area.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a32139481909baaf9275f5e0257 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.