Triple

T38415867
Position Surface form Disambiguated ID Type / Status
Subject Slickrock Bike Trail E901597 entity
Predicate surfaceFriction P139187 FINISHED
Object high traction despite name 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: high traction despite name | Statement: [Slickrock Bike Trail, surfaceFriction, high traction despite name]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surfaceFriction
Context triple: [Slickrock Bike Trail, surfaceFriction, high traction despite name]
  • A. surfaceType
    Indicates the kind or classification of surface associated with an entity or interaction.
  • B. impactSurface
    Indicates that one entity comes into contact with and strikes the surface of another entity.
  • C. surfaceBehavior
    Indicates how an entity behaves or interacts specifically at or on its surface.
  • D. factorOfAdhesion chosen
    Indicates the degree to which one surface or material adheres to or grips another, typically affecting traction or resistance to sliding between them.
  • E. surfaceTypeWhenDry
    Indicates the type or condition of a surface specifically when it is dry.
  • 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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.