Triple

T10902905
Position Surface form Disambiguated ID Type / Status
Subject Pearl station E257490 entity
Predicate partOf P40 FINISHED
Object DART Light Rail E51093 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: DART Light Rail | Statement: [Pearl station, partOf, DART Light Rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DART Light Rail
Context triple: [Pearl station, partOf, DART Light Rail]
  • A. DART Light Rail chosen
    DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
  • B. MAX Light Rail
    MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
  • C. DART downtown transit corridor
    The DART downtown transit corridor is a central light rail and bus route network running through downtown Dallas, Texas, that connects multiple DART stations and facilitates high-frequency urban transit.
  • 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. DART Blue Line
    The DART Blue Line is a light rail service in the Dallas Area Rapid Transit system that runs through key parts of Dallas and its surrounding communities.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a4e9d48190b107839761a2152b completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1553bb88c8190b9730a31977e1dd1 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.