Triple

T1489385
Position Surface form Disambiguated ID Type / Status
Subject West End station E29541 entity
Predicate partOf P40 FINISHED
Object DART Light Rail system 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 system | Statement: [West End station, partOf, DART Light Rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DART Light Rail system
Context triple: [West End station, partOf, DART Light Rail system]
  • 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. The Tide light rail system
    The Tide light rail system is an urban light rail transit network serving the city of Norfolk and surrounding areas in southeastern Virginia.
  • 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. 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.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a6095481909e9d406ac9a41828 completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36ffd8808190894f2139ae12204e completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 8:12 p.m.