Triple

T21832020
Position Surface form Disambiguated ID Type / Status
Subject Uruguaiana Station (Rio de Janeiro Metro) E539019 entity
Predicate namedAfter P63 FINISHED
Object Rua Uruguaiana — 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: Rua Uruguaiana | Statement: [Uruguaiana Station (Rio de Janeiro Metro), namedAfter, Rua Uruguaiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rua Uruguaiana
Context triple: [Uruguaiana Station (Rio de Janeiro Metro), namedAfter, Rua Uruguaiana]
  • A. Avenida Caxangá
    Avenida Caxangá is a major thoroughfare in Recife, Brazil, known as one of the city’s longest and most important urban avenues for traffic and commerce.
  • B. Avenida Rubem Berta
    Avenida Rubem Berta is a major urban avenue in São Paulo, Brazil, forming part of the city’s key north–south traffic corridor.
  • C. Avenida Almirante Reis
    Avenida Almirante Reis is a major thoroughfare in Lisbon, Portugal, known for its dense urban fabric, diverse communities, and mix of residential, commercial, and historic buildings.
  • D. Avenida Francisco Matarazzo
    Avenida Francisco Matarazzo is a major urban avenue in São Paulo, Brazil, known for connecting central districts and serving as an important commercial and traffic corridor.
  • E. Avenida Hélio Pellegrino
    Avenida Hélio Pellegrino is a major urban avenue in São Paulo, Brazil, known for its commercial activity, residential buildings, and connection to key thoroughfares in the city’s south zone.
  • 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: Rua Uruguaiana
Target entity description: Rua Uruguaiana is a well-known commercial street in downtown Rio de Janeiro, Brazil, recognized for its busy shopping area and popular street market.
  • A. Avenida Caxangá
    Avenida Caxangá is a major thoroughfare in Recife, Brazil, known as one of the city’s longest and most important urban avenues for traffic and commerce.
  • B. Avenida Rubem Berta
    Avenida Rubem Berta is a major urban avenue in São Paulo, Brazil, forming part of the city’s key north–south traffic corridor.
  • C. Avenida Almirante Reis
    Avenida Almirante Reis is a major thoroughfare in Lisbon, Portugal, known for its dense urban fabric, diverse communities, and mix of residential, commercial, and historic buildings.
  • D. Avenida Francisco Matarazzo
    Avenida Francisco Matarazzo is a major urban avenue in São Paulo, Brazil, known for connecting central districts and serving as an important commercial and traffic corridor.
  • E. Avenida Hélio Pellegrino
    Avenida Hélio Pellegrino is a major urban avenue in São Paulo, Brazil, known for its commercial activity, residential buildings, and connection to key thoroughfares in the city’s south zone.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.