Triple

T36553053
Position Surface form Disambiguated ID Type / Status
Subject Park Avenue Viewpoint E901622 entity
Predicate trailDifficultyNearby P24163 FINISHED
Object easy to moderate 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: easy to moderate | Statement: [Park Avenue Viewpoint, trailDifficultyNearby, easy to moderate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trailDifficultyNearby
Context triple: [Park Avenue Viewpoint, trailDifficultyNearby, easy to moderate]
  • A. hasTrailDifficulty chosen
    Indicates the level of challenge or effort required to traverse a particular trail or route.
  • B. hasNearbyTrailheadFor
    Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
  • C. hikingTrailPassesNear
    Indicates that a hiking trail runs close to, but does not directly intersect or pass through, a specified location or feature.
  • D. reachableFromTrailhead
    Indicates that a location or segment can be accessed by traveling from a designated trailhead.
  • E. nearbySummit
    Indicates that one summit is located close to another summit in geographic space.
  • 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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.