Triple

T20796860
Position Surface form Disambiguated ID Type / Status
Subject M train E511932 entity
Predicate nearbyLandmarkAtLex53 P53174 FINISHED
Object 53rd Street — NE NERFINISHED

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: 53rd Street | Statement: [M train, nearbyLandmarkAtLex53, 53rd Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 53rd Street
Context triple: [M train, nearbyLandmarkAtLex53, 53rd Street]
  • A. 53rd Street chosen
    53rd Street is a local New York City Subway station in Brooklyn serving the BMT Fourth Avenue Line.
  • B. 63rd Street
    63rd Street is a major east–west thoroughfare on the South Side of Chicago that runs through several neighborhoods and provides access to parks and lakefront areas.
  • C. 51st Street
    51st Street is a major east–west thoroughfare running through the Temescal neighborhood of Oakland, California, lined with residences, local businesses, and community amenities.
  • D. 51st Street
    51st Street is a New York City Subway station in Midtown Manhattan on the IRT Lexington Avenue Line, serving the 6 train.
  • E. 51st Street
    51st Street is a significant east–west thoroughfare on Chicago’s South Side, running through several neighborhoods and serving as an important local commercial and residential corridor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ad6f0481909e0bab7119f10f9c completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.