Triple

T3432279
Position Surface form Disambiguated ID Type / Status
Subject Village of Harriman, New York E72365 entity
Predicate hasZoningRegulations P16838 FINISHED
Object yes LITERAL 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: yes | Statement: [Village of Harriman, New York, hasZoningRegulations, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasZoningRegulations
Context triple: [Village of Harriman, New York, hasZoningRegulations, yes]
  • A. zoningCharacter
    Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
  • B. hasLocalOrdinances chosen
    Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
  • C. isPlannedCommunity
    Indicates that a community has been intentionally designed and developed according to a coordinated plan rather than growing organically.
  • D. hasPedestrianZoneStatus
    Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
  • E. regulatesArea
    Indicates that one entity exercises control or governance over the spatial extent, scope, or domain of another entity.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.