Triple

T27122103
Position Surface form Disambiguated ID Type / Status
Subject Two Lakes Loop Trail E687025 entity
Predicate hasRecreationSetting P196977 FINISHED
Object rural 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: rural | Statement: [Two Lakes Loop Trail, hasRecreationSetting, rural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecreationSetting
Context triple: [Two Lakes Loop Trail, hasRecreationSetting, rural]
  • A. hasRecreationValue
    Indicates that something provides opportunities or benefits for leisure, enjoyment, or recreational activities.
  • B. hasRecreationType
    Indicates that an entity is associated with or offers a particular type or category of recreational activity.
  • C. hasRecreationSection
    Indicates that an entity includes or is associated with a designated recreation section or recreational area.
  • D. hasRecreationPurpose
    Indicates that something is used or intended to be used for recreational or leisure activities.
  • E. hasRecreationProvider
    Indicates that an entity offers or supplies recreational services, facilities, or activities to another entity.
  • F. None of above. chosen

Provenance (4 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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69fe72dca2f08190beff17de3d2aada6 completed May 8, 2026, 11:33 p.m.
PD Predicate disambiguation batch_69fe70bca8d08190b810e1e616ceac44 completed May 8, 2026, 11:24 p.m.
PDg Predicate description generation batch_69fe72db8810819089e397961b8ead7a completed May 8, 2026, 11:33 p.m.
Created at: April 27, 2026, 8:59 a.m.