Triple

T1710104
Position Surface form Disambiguated ID Type / Status
Subject North Bay E36961 entity
Predicate hasRecreationalAttraction P3449 FINISHED
Object waterfront on Lake Nipissing 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: waterfront on Lake Nipissing | Statement: [North Bay, hasRecreationalAttraction, waterfront on Lake Nipissing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecreationalAttraction
Context triple: [North Bay, hasRecreationalAttraction, waterfront on Lake Nipissing]
  • 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. hasRecreationFacility
    Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
  • D. hasAttractionNearby chosen
    Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
  • E. hasRecreationActivity
    Indicates that an entity provides, includes, or is associated with a particular recreational activity.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.