Triple

T12776770
Position Surface form Disambiguated ID Type / Status
Subject MLK Jr. station E305396 entity
Predicate partOf P40 FINISHED
Object DART Light Rail network 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 network | Statement: [MLK Jr. station, partOf, DART Light Rail network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DART Light Rail network
Context triple: [MLK Jr. station, partOf, DART Light Rail network]
  • 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. 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.
  • D. 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.
  • E. 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.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.