Triple

T7152711
Position Surface form Disambiguated ID Type / Status
Subject 22nd Street E166729 entity
Predicate givesNameTo P63 FINISHED
Object 22nd Street station E27037 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: 22nd Street station | Statement: [22nd Street, givesNameTo, 22nd Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 22nd Street station
Context triple: [22nd Street, givesNameTo, 22nd Street station]
  • A. 22nd Street station chosen
    22nd Street station is an underground trolley stop in Center City Philadelphia serving SEPTA’s Subway–Surface Trolley Lines.
  • B. 25th Street station
    25th Street station is a light rail stop on Charlotte’s LYNX Blue Line serving the NoDa and surrounding neighborhoods in Charlotte, North Carolina.
  • 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. 11th Street station
    11th Street station is a SEPTA subway station in Center City Philadelphia that serves the Market–Frankford Line and provides access to nearby regional rail and commercial areas.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f52c1081908c4fa424d5e965bc completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adad45208190a8e09173a4d26591 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:46 p.m.