Triple

T19181543
Position Surface form Disambiguated ID Type / Status
Subject Pulaski Road E469584 entity
Predicate hasJunctionWith P1018 FINISHED
Object 63rd 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: 63rd Street | Statement: [Pulaski Road, hasJunctionWith, 63rd Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 63rd Street
Context triple: [Pulaski Road, hasJunctionWith, 63rd Street]
  • A. 63rd Street chosen
    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.
  • B. 86th Street
    86th Street is a New York City Subway station on Manhattan’s Upper West Side, serving the IRT Broadway–Seventh Avenue Line.
  • C. 86th Street
    86th Street is a major local subway station on Manhattan’s Upper East Side serving the Lexington Avenue Line.
  • D. 57th Street
    57th Street is a major east–west thoroughfare in Midtown Manhattan known for its luxury shopping, high-end residences, and prominent commercial buildings.
  • E. 157th Street
    157th Street is a New York City Subway station in Manhattan on the IRT Broadway–Seventh Avenue Line.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61cab348190965e96ac0f701f9f completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.