Triple

T13292655
Position Surface form Disambiguated ID Type / Status
Subject Miami-Dade Transit E316596 entity
Predicate operates P24 FINISHED
Object Metrorail E79386 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: Metrorail | Statement: [Miami-Dade Transit, operates, Metrorail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrorail
Context triple: [Miami-Dade Transit, operates, Metrorail]
  • A. Metrorail
    Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
  • B. Metrorail chosen
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • C. Metro Rail
    Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
  • D. Rio Metro
    Rio Metro is the public transportation brand serving the Albuquerque metropolitan area and surrounding communities in central New Mexico, providing commuter rail and bus services.
  • E. Metrorail Orange Line
    The Metrorail Orange Line is a Washington, D.C. Metro rapid transit line that runs east–west through the region, connecting downtown D.C. with Arlington, Fairfax County, and beyond.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d6dc988190ab7183089113237f completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.