Triple

T4171544
Position Surface form Disambiguated ID Type / Status
Subject Charlotte LYNX Blue Line E84574 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: [Charlotte LYNX Blue Line, hasStation, 7th Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 7th Street station
Context triple: [Charlotte LYNX Blue Line, 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. 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.
  • C. 2nd Street station
    2nd Street station is a subway station in Philadelphia serving the Old City neighborhood on SEPTA’s Market–Frankford Line.
  • D. 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.
  • E. 33rd Street station
    33rd Street station is a major underground trolley stop in Philadelphia serving SEPTA’s Subway–Surface lines near Drexel University and the University of Pennsylvania.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c9e12c81908d0b22671fea2453 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db77e7d88190a7ba250972e133fa completed March 14, 2026, 10:04 p.m.
Created at: March 9, 2026, 3:45 p.m.