Triple

T8052026
Position Surface form Disambiguated ID Type / Status
Subject Ben Nevis estate E187695 entity
Predicate hasRecreationPurpose P80753 FINISHED
Object public access to mountain environment 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: public access to mountain environment | Statement: [Ben Nevis estate, hasRecreationPurpose, public access to mountain environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecreationPurpose
Context triple: [Ben Nevis estate, hasRecreationPurpose, public access to mountain environment]
  • A. hasRecreationActivity
    Indicates that an entity provides, includes, or is associated with a particular recreational activity.
  • B. hasRecreationType
    Indicates that an entity is associated with or offers a particular type or category of recreational activity.
  • C. hasRecreationClassification
    Indicates that an entity is assigned a specific type or category of recreational use or activity.
  • D. hasRecreationFacility
    Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
  • E. hasRecreationalOrganization
    Indicates that an entity is associated with, or hosts, a recreational organization such as a club, team, or leisure group.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7aab6481909d4a7cb9eabcd2af completed March 31, 2026, 3:28 a.m.
PD Predicate disambiguation batch_69cb049a1b9c8190811c396421ebf9c9 completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14bcbbc0819094a98e7ffffb7a40 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:24 p.m.