Triple

T6451645
Position Surface form Disambiguated ID Type / Status
Subject Center City Concourse E139880 entity
Predicate connects P390 FINISHED
Object Walnut–Locust station E79568 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: Walnut–Locust station | Statement: [Center City Concourse, connects, Walnut–Locust station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walnut–Locust station
Context triple: [Center City Concourse, connects, Walnut–Locust station]
  • A. Walnut–Locust station chosen
    Walnut–Locust station is an underground rapid transit stop in Center City Philadelphia serving passengers on SEPTA’s Broad Street Line.
  • B. Snelling Avenue Station
    Snelling Avenue Station is a light rail stop in Saint Paul, Minnesota, serving the METRO Green Line and providing access to nearby neighborhoods and commercial areas.
  • C. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • D. Walnut Hill/Denton station
    Walnut Hill/Denton station is a Dallas Area Rapid Transit (DART) light rail stop in Dallas, Texas, serving the Green Line and providing access to nearby residential and commercial areas.
  • E. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b4171c8190b0acad78700998ed completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fcb6974819094759e4b7903049b completed March 27, 2026, 10:45 a.m.
Created at: March 22, 2026, 4:47 p.m.