Triple

T8134387
Position Surface form Disambiguated ID Type / Status
Subject Green Line (DART) E189932 entity
Predicate hasStation P35 FINISHED
Object Buckner station E186124 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: Buckner station | Statement: [Green Line (DART), hasStation, Buckner station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckner station
Context triple: [Green Line (DART), hasStation, Buckner station]
  • A. Buckner Station chosen
    Buckner Station is a major Dallas Area Rapid Transit (DART) transit center in Dallas, Texas, serving as a key connection point for light rail and multiple bus routes.
  • B. Savannah station
    Savannah station is a passenger rail station in Savannah, Georgia, serving as a key stop and terminus for Amtrak services in the southeastern United States.
  • C. Sickla station
    Sickla station is a stop on Stockholm’s Saltsjöbanan commuter rail line serving the Sickla district in Nacka.
  • D. Charleston station
    Charleston station is an Amtrak passenger rail station in Charleston, South Carolina, serving long-distance routes along the U.S. East Coast.
  • E. Cumberland station
    Cumberland station is a Chicago Transit Authority rapid transit stop on the Blue Line serving the city's Northwest Side and nearby suburbs with park-and-ride access to O'Hare International Airport and downtown Chicago.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43bbae608190bdc1afe6f0ab83ae completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbec8491c81908362d44c42fc8568 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:35 p.m.