Triple

T2720770
Position Surface form Disambiguated ID Type / Status
Subject CPTM commuter rail E60073 entity
Predicate fareIntegrationWith P3494 FINISHED
Object São Paulo Metro E59698 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: São Paulo Metro | Statement: [CPTM commuter rail, fareIntegrationWith, São Paulo Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Paulo Metro
Context triple: [CPTM commuter rail, fareIntegrationWith, São Paulo Metro]
  • A. São Paulo Metro chosen
    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.
  • B. CPTM commuter rail
    CPTM commuter rail is a suburban rail network serving the São Paulo metropolitan area, connecting the city to its surrounding municipalities.
  • C. Lisbon Metro
    Lisbon Metro is the rapid transit system serving Portugal’s capital, providing an extensive network of underground and suburban rail lines across the Lisbon metropolitan area.
  • D. Subte
    Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
  • E. Santiago Metro
    Santiago Metro is the rapid transit system serving Chile's capital, known as one of Latin America’s largest and most extensive urban rail networks.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc033d94481908e4709529ab93442 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:55 p.m.