Triple

T914477
Position Surface form Disambiguated ID Type / Status
Subject Victory Park E19736 entity
Predicate servedBy P82 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: [Victory Park, servedBy, DART light rail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DART light rail
Context triple: [Victory Park, servedBy, 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 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.
  • D. DART Red Line
    The DART Red Line is a light rail service in Dallas, Texas, forming one of the primary routes in the Dallas Area Rapid Transit rail network.
  • E. DART Orange Line
    The DART Orange Line is a light rail route in the Dallas Area Rapid Transit system that connects key areas of the Dallas–Fort Worth metroplex, including Dallas/Fort Worth International Airport, with central Dallas.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f605bc8190a5245aa2ca55cf43 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a9339e557c81908d4d44f922994ba0 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:39 p.m.