Triple

T16814849
Position Surface form Disambiguated ID Type / Status
Subject Nassau Avenue E408715 entity
Predicate hasExitTo P29827 FINISHED
Object Nassau Avenue 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: Nassau Avenue | Statement: [Nassau Avenue, hasExitTo, Nassau Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nassau Avenue
Context triple: [Nassau Avenue, hasExitTo, Nassau Avenue]
  • A. Nassau Avenue chosen
    Nassau Avenue is a New York City Subway station in Brooklyn’s Greenpoint neighborhood on the G line.
  • B. Nassau Boulevard
    Nassau Boulevard is a Long Island Rail Road commuter rail station in Garden City, New York, serving passengers on the Hempstead Branch.
  • C. Westchester Avenue
    Westchester Avenue is a major east–west thoroughfare in the Bronx, New York City, running through several neighborhoods and serving as a key commercial and transit corridor.
  • D. Van Siclen Avenue
    Van Siclen Avenue is a street in Brooklyn, New York City, that lends its name to nearby subway stations and serves as a local thoroughfare in the borough.
  • E. Flushing Avenue
    Flushing Avenue is a major thoroughfare in Brooklyn and Queens, New York City, running through several neighborhoods and serving as a key commercial and transit 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.