Triple

T12215184
Position Surface form Disambiguated ID Type / Status
Subject Gérson E291063 entity
Predicate placeOfBirth P1 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: [Gérson, placeOfBirth, Niterói]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niterói
Context triple: [Gérson, placeOfBirth, 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. Vassouras
    Vassouras is a historic municipality in the state of Rio de Janeiro, Brazil, known for its 19th-century coffee-era architecture and colonial heritage.
  • C. 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.
  • D. 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.
  • E. Barra Mansa
    Barra Mansa is an important industrial and commercial city in the state of Rio de Janeiro, Brazil, located in the Sul Fluminense 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717f930c8190ad4713f1040d552a completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:51 p.m.