Triple

T22431235
Position Surface form Disambiguated ID Type / Status
Subject Central Potiguar E554503 entity
Predicate containsMunicipality P852 FINISHED
Object São João do Sabugi — NE NERFINISHED

How this triple was built (3 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: São João do Sabugi | Statement: [Central Potiguar, containsMunicipality, São João do Sabugi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: São João do Sabugi
Context triple: [Central Potiguar, containsMunicipality, São João do Sabugi]
  • A. São João da Boa Vista
    São João da Boa Vista is a municipality in the state of São Paulo, Brazil, known for its regional commerce, education institutions, and role as a local economic and cultural center.
  • B. Bom Jardim
    Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
  • C. São Sebastião do Passé
    São Sebastião do Passé is a municipality in the state of Bahia, Brazil, that forms part of the greater Salvador metropolitan area.
  • D. São Lourenço da Mata
    São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
  • E. São Gabriel da Cachoeira
    São Gabriel da Cachoeira is a remote municipality in the northwest of Brazil’s Amazonas state, known for its large Indigenous population, rich cultural diversity, and location near the borders with Colombia and Venezuela.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: São João do Sabugi
Target entity description: São João do Sabugi is a small municipality in the state of Rio Grande do Norte in Brazil’s Northeast region, known for its rural character and traditional cultural festivities.
  • A. São João da Boa Vista
    São João da Boa Vista is a municipality in the state of São Paulo, Brazil, known for its regional commerce, education institutions, and role as a local economic and cultural center.
  • B. Bom Jardim
    Bom Jardim is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its mild climate and rural landscapes.
  • C. São Sebastião do Passé
    São Sebastião do Passé is a municipality in the state of Bahia, Brazil, that forms part of the greater Salvador metropolitan area.
  • D. São Lourenço da Mata
    São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
  • E. São Gabriel da Cachoeira
    São Gabriel da Cachoeira is a remote municipality in the northwest of Brazil’s Amazonas state, known for its large Indigenous population, rich cultural diversity, and location near the borders with Colombia and Venezuela.
  • F. None of above. chosen

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.