Triple

T759330
Position Surface form Disambiguated ID Type / Status
Subject MetroAccess E16029 entity
Predicate relatedTo P37 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: [MetroAccess, relatedTo, Metrorail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metrorail
Context triple: [MetroAccess, relatedTo, Metrorail]
  • A. Metrorail chosen
    Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
  • 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. 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. METRO light rail
    METRO light rail is a rapid transit system serving the Minneapolis–Saint Paul metropolitan area with multiple color-designated lines connecting key urban, suburban, and airport destinations.
  • E. Metro A Line
    The Metro A Line is a light rail line in Los Angeles County that runs between downtown Los Angeles and Long Beach as part of the region’s Metro Rail system.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a67f9778819098d3c144dd26b976 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a673345f18819084e2caf380e46b30 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:37 p.m.