Triple

T18130924
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (TRAX) E434006 entity
Predicate system P730 FINISHED
Object TRAX light rail system NE NERFINISHED

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: TRAX light rail system | Statement: [Blue Line (TRAX), system, TRAX light rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRAX light rail system
Context triple: [Blue Line (TRAX), system, TRAX light rail system]
  • A. TRAX light rail chosen
    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.
  • B. Mi Tren light rail system
    The Mi Tren light rail system is an urban rail transit network serving the Guadalajara metropolitan area in Jalisco, Mexico.
  • C. Houston METRORail
    Houston METRORail is a light rail transit system serving the city of Houston, Texas, providing urban passenger rail service along several key corridors.
  • D. LYNX light rail system
    The LYNX light rail system is Charlotte, North Carolina’s urban rail transit network, providing electric passenger service along key corridors such as the Blue Line.
  • E. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf1e2508190993f65ca137fdf63 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.