Triple

T10564401
Position Surface form Disambiguated ID Type / Status
Subject TEXRail E249309 entity
Predicate operator P179 FINISHED
Object Trinity Metro E50756 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: Trinity Metro | Statement: [TEXRail, operator, Trinity Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinity Metro
Context triple: [TEXRail, operator, Trinity Metro]
  • A. Trinity Metro chosen
    Trinity Metro is the public transportation agency that operates bus and rail services, including commuter rail, in the Fort Worth area of the Dallas–Fort Worth metroplex in Texas.
  • B. Capital Metro
    Capital Metro is the primary public transportation agency serving the Austin, Texas metropolitan area with bus, rail, and paratransit services.
  • C. McKinney Avenue Transit Authority
    McKinney Avenue Transit Authority is a nonprofit organization in Dallas, Texas that operates the city’s historic M-Line trolley service in the Uptown and downtown areas.
  • D. SouthWest Transit
    SouthWest Transit is a public transportation agency serving suburban communities in the southwest Twin Cities metropolitan area of Minnesota.
  • E. Charlotte Area Transit System
    Charlotte Area Transit System is the primary public transportation agency serving the Charlotte metropolitan area with bus, light rail, and other transit services.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272c32c48190a92c1dacd4deb9fe completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9349bb7748190b5afb492e78d1128 completed April 10, 2026, 5:34 p.m.
Created at: April 6, 2026, 12:36 p.m.