Triple

T974326
Position Surface form Disambiguated ID Type / Status
Subject PATH E21015 entity
Predicate hasStation P35 FINISHED
Object 33rd Street station E27614 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: 33rd Street station | Statement: [PATH, hasStation, 33rd Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 33rd Street station
Context triple: [PATH, hasStation, 33rd Street station]
  • A. 33rd Street station chosen
    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.
  • 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. 36th Street station
    36th Street station is a key SEPTA trolley stop in Philadelphia serving the Subway–Surface Trolley Lines near the University of Pennsylvania.
  • D. 22nd Street station
    22nd Street station is an underground trolley stop in Center City Philadelphia serving SEPTA’s Subway–Surface Trolley Lines.
  • E. 15th Street station
    15th Street station is a major underground transit hub in Center City Philadelphia that connects SEPTA’s subway–surface trolleys with the Market–Frankford Line and nearby regional rail services.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7631d5d081909c1229d1b792ddb6 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:40 p.m.