Triple

T8557530
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (DART) E202609 entity
Predicate hasStation P35 FINISHED
Object Ledbetter Station E722530 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: Ledbetter Station | Statement: [Blue Line (DART), hasStation, Ledbetter Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ledbetter Station
Context triple: [Blue Line (DART), hasStation, Ledbetter Station]
  • A. Ledbetter station chosen
    Ledbetter station is a Dallas Area Rapid Transit (DART) light rail stop serving the southern terminus of the Green Line in Dallas, Texas.
  • B. Bell Station
    Bell Station is a small unincorporated community in Santa Clara County, California.
  • C. Bell Station
    Bell Station is a commuter rail stop in Texas served by the Trinity Railway Express line connecting Dallas and Fort Worth.
  • D. Patterson Station
    Patterson Station is a SkyTrain rapid transit station in Burnaby, British Columbia, serving the Expo Line near Central Park.
  • E. Sumner Station
    Sumner Station is a commuter rail stop in Sumner, Washington, served by Sound Transit’s Sounder South Line connecting Pierce County communities with Seattle.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe946d1408190adc7dfb7b2173f9d completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89455dcc819088bdf5a2f653da17 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.