Triple

T21831999
Position Surface form Disambiguated ID Type / Status
Subject Uruguaiana Station (Rio de Janeiro Metro) E539019 entity
Predicate serves P98 FINISHED
Object Rio de Janeiro Metro Line 1 — 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: Rio de Janeiro Metro Line 1 | Statement: [Uruguaiana Station (Rio de Janeiro Metro), serves, Rio de Janeiro Metro Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rio de Janeiro Metro Line 1
Context triple: [Uruguaiana Station (Rio de Janeiro Metro), serves, Rio de Janeiro Metro Line 1]
  • A. Rio de Janeiro Metro
    The Rio de Janeiro Metro is the rapid transit system serving the city of Rio de Janeiro, Brazil, providing high-capacity urban rail transport across key neighborhoods and metropolitan areas.
  • B. São Paulo Metro Line 1–Blue
    São Paulo Metro Line 1–Blue is the oldest and one of the busiest lines of the São Paulo Metro system, running primarily in a north–south direction and connecting key residential districts with the city’s central area.
  • C. São Paulo Metro
    The São Paulo Metro is a major rapid transit system serving the city of São Paulo, Brazil, known for its extensive network, high ridership, and role as a backbone of the city's public transportation.
  • D. São Paulo Metro Line 2-Green
    São Paulo Metro Line 2-Green is a major rapid transit line in São Paulo that runs east–west across the city, connecting central districts with important residential and commercial areas.
  • E. Brasília Metro
    The Brasília Metro is the rapid transit system serving Brazil’s capital, connecting key government, residential, and commercial areas across the Federal District.
  • 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: Rio de Janeiro Metro Line 1
Target entity description: Rio de Janeiro Metro Line 1 is the city’s primary metro line, running through central and South Zone neighborhoods and connecting key commercial and residential areas.
  • A. Rio de Janeiro Metro chosen
    The Rio de Janeiro Metro is the rapid transit system serving the city of Rio de Janeiro, Brazil, providing high-capacity urban rail transport across key neighborhoods and metropolitan areas.
  • B. São Paulo Metro Line 1–Blue
    São Paulo Metro Line 1–Blue is the oldest and one of the busiest lines of the São Paulo Metro system, running primarily in a north–south direction and connecting key residential districts with the city’s central area.
  • C. São Paulo Metro
    The São Paulo Metro is a major rapid transit system serving the city of São Paulo, Brazil, known for its extensive network, high ridership, and role as a backbone of the city's public transportation.
  • D. São Paulo Metro Line 2-Green
    São Paulo Metro Line 2-Green is a major rapid transit line in São Paulo that runs east–west across the city, connecting central districts with important residential and commercial areas.
  • E. Brasília Metro
    The Brasília Metro is the rapid transit system serving Brazil’s capital, connecting key government, residential, and commercial areas across the Federal District.
  • F. None of above.

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_69f091362d9081909f00ad7a2806d5cb completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:55 p.m.