Triple

T24594260
Position Surface form Disambiguated ID Type / Status
Subject Long Island E608619 entity
Predicate majorSuburbanAreaOf P154771 FINISHED
Object New York City 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: New York City | Statement: [Long Island, majorSuburbanAreaOf, New York City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorSuburbanAreaOf
Context triple: [Long Island, majorSuburbanAreaOf, New York City]
  • A. containsSuburbanAreaOf chosen
    Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
  • B. suburbanAreasDominatedBy
    Indicates that one suburban area is predominantly controlled, influenced, or characterized by another entity (such as a group, activity, or demographic).
  • C. isSuburbanNeighborhoodOf
    Indicates that one area is a residential neighborhood located within or characteristic of the suburbs of another, typically larger, urban area.
  • D. isSuburbanArea
    Indicates that a location is characterized as a suburban area, typically lying between urban and rural regions and exhibiting suburban development patterns.
  • E. isSuburbanCityOf
    Indicates that one city is a suburban municipality that is part of, or closely associated with, a larger primary city or metropolitan area.
  • F. None of above.

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_69e2c4cf54248190af7b0c2d9ade9830 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:30 a.m.