Triple

T2168064
Position Surface form Disambiguated ID Type / Status
Subject El Rosario E46955 entity
Predicate operator P179 FINISHED
Object Sistema de Transporte Colectivo Metro E100149 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: Sistema de Transporte Colectivo Metro | Statement: [El Rosario, operator, Sistema de Transporte Colectivo Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sistema de Transporte Colectivo Metro
Context triple: [El Rosario, operator, Sistema de Transporte Colectivo Metro]
  • A. Metrovías
    Metrovías is an Argentine private company that operated and managed public transportation services in Buenos Aires, including the city’s underground metro system, for many years.
  • B. Metrorail
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • C. Metrorail
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • D. Sistema de Transporte Colectivo chosen
    Sistema de Transporte Colectivo is the public agency responsible for operating and managing the Mexico City Metro system.
  • E. Metromover
    Metromover is a free, automated people mover system in Miami that operates elevated trains to connect key areas of the city’s urban core.
  • 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9a74e081909d8945fe03c8d0fa completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.