Triple

T9549187
Position Surface form Disambiguated ID Type / Status
Subject Jurujuba Inlet E230374 entity
Predicate locatedIn P40 FINISHED
Object Niterói E211032 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: Niterói | Statement: [Jurujuba Inlet, locatedIn, Niterói]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niterói
Context triple: [Jurujuba Inlet, locatedIn, Niterói]
  • A. Niterói chosen
    Niterói is a coastal city in the state of Rio de Janeiro, Brazil, known for its beaches, views of Rio across the bay, and iconic modernist architecture by Oscar Niemeyer.
  • B. Belford Roxo
    Belford Roxo is a municipality in the state of Rio de Janeiro, Brazil, located in the Baixada Fluminense region of the Rio de Janeiro metropolitan area.
  • C. Petrópolis
    Petrópolis is a historic mountain city in Brazil known as the former summer residence of the Brazilian imperial family and for its well-preserved 19th-century architecture.
  • D. Maricá
    Maricá is a coastal municipality in the state of Rio de Janeiro, Brazil, known for its beaches, lagoons, and growing residential communities.
  • E. São João de Meriti
    São João de Meriti is a densely populated municipality in the Baixada Fluminense region of Rio de Janeiro state, Brazil, known as a major suburban area of the Rio de Janeiro metropolitan region.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99059138819088ae54b26df979cf completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18211c1408190806823e93932c64c completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:02 p.m.