Triple

T11518347
Position Surface form Disambiguated ID Type / Status
Subject Brighton, Utah E273088 entity
Predicate outdoorCategory P99915 FINISHED
Object mountain resort 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: mountain resort | Statement: [Brighton, Utah, outdoorCategory, mountain resort]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outdoorCategory
Context triple: [Brighton, Utah, outdoorCategory, mountain resort]
  • A. outdoorSection
    Indicates that one entity is a section, area, or portion that is located outdoors or in an open-air environment relative to another entity.
  • B. outdoorActivityType
    Indicates the specific kind of outdoor activity associated with an entity or event.
  • C. isOutdoor
    Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
  • D. campCategory
    Indicates the classification or type of camp to which an entity belongs (e.g., by purpose, style, or characteristics).
  • E. hasOutdoorResource
    Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d822ef46988190a1c360da4ee14fef completed April 9, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:36 p.m.