Triple

T4775130
Position Surface form Disambiguated ID Type / Status
Subject DFW Airport North Station (TexRail) E106025 entity
Predicate partOf P40 FINISHED
Object TEXRail system E249309 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: TEXRail system | Statement: [DFW Airport North Station (TexRail), partOf, TEXRail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEXRail system
Context triple: [DFW Airport North Station (TexRail), partOf, TEXRail system]
  • A. TEXRail chosen
    TEXRail is a commuter rail line in the Dallas–Fort Worth area that connects downtown Fort Worth to Dallas/Fort Worth International Airport.
  • B. Altamont Corridor Express
    Altamont Corridor Express is a commuter rail service in Northern California that connects Central Valley communities with the San Francisco Bay 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. Tri-Rail
    Tri-Rail is a commuter rail system in South Florida that connects major cities and transportation hubs across the Miami, Fort Lauderdale, and West Palm Beach metropolitan area.
  • E. ExpressRail system
    The ExpressRail system is a dedicated on-dock rail network at the Port of New York and New Jersey that moves containerized cargo efficiently between marine terminals and inland destinations.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6584481081908f1041a8827e0b42 completed March 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8e724c8190bfca713d5d022be6 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:21 p.m.