Triple

T8419557
Position Surface form Disambiguated ID Type / Status
Subject Village of Northville, New York E198813 entity
Predicate hasRecreationalOpportunity P971 FINISHED
Object snowmobiling 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: snowmobiling | Statement: [Village of Northville, New York, hasRecreationalOpportunity, snowmobiling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecreationalOpportunity
Context triple: [Village of Northville, New York, hasRecreationalOpportunity, snowmobiling]
  • A. hasRecreationalArea
    Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
  • B. hasRecreationalOrganization
    Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
  • C. hasRecreationActivity chosen
    Indicates that an entity provides, includes, or is associated with a particular recreational activity.
  • D. hasRecreationalUseNearby
    Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
  • E. hasRecreationFacility
    Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c941988190884a5c0cbb44bcc2 completed March 31, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69cb70d70ea081909c3dc1bd2ec14f85 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:06 p.m.