Triple

T16887964
Position Surface form Disambiguated ID Type / Status
Subject LYNX light rail system E421586 entity
Predicate hasStation P35 FINISHED
Object 7th Street station E427966 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: 7th Street station | Statement: [LYNX light rail system, hasStation, 7th Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 7th Street station
Context triple: [LYNX light rail system, hasStation, 7th Street station]
  • A. 7th Street station chosen
    7th Street station is a light rail station in uptown Charlotte, North Carolina, serving the LYNX Blue Line and providing access to the city’s central business and entertainment districts.
  • B. 5th Street station
    5th Street station is a subway station in Philadelphia that serves the area around Independence Hall and other historic Old City landmarks.
  • C. 37th Street station
    37th Street station is a Philadelphia trolley stop on SEPTA’s Subway–Surface Lines serving the University City area near the University of Pennsylvania.
  • D. 2nd Street station
    2nd Street station is a subway station in Philadelphia serving the Old City neighborhood on SEPTA’s Market–Frankford Line.
  • E. 9th Street station
    9th Street station is a PATH rapid transit stop in Manhattan that serves as part of the rail link between New Jersey and New York City.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc2f6d081909c76fa2a6b87e083 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b39d39481908f5d7aa21008fc63 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:29 a.m.