Triple

T11638126
Position Surface form Disambiguated ID Type / Status
Subject Regional Transportation District E276578 entity
Predicate operates P24 FINISHED
Object RTD Light Rail E670215 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: RTD Light Rail | Statement: [Regional Transportation District, operates, RTD Light Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTD Light Rail
Context triple: [Regional Transportation District, operates, RTD Light Rail]
  • A. RTD light rail chosen
    RTD light rail is a regional light rail transit system serving the Denver metropolitan area in Colorado, operated by the Regional Transportation District.
  • B. DART Light Rail
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • C. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • D. TRAX light rail
    TRAX light rail is a public transit light rail system in the Salt Lake City metropolitan area of Utah, operated by the Utah Transit Authority.
  • E. 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.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef137087248190bb6c196bc94eb0f6 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.