Triple

T13118043
Position Surface form Disambiguated ID Type / Status
Subject Chilnualna Falls E311146 entity
Predicate hasApproximateElevationGainOnTrail P94224 FINISHED
Object over 2000 feet 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: over 2000 feet | Statement: [Chilnualna Falls, hasApproximateElevationGainOnTrail, over 2000 feet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateElevationGainOnTrail
Context triple: [Chilnualna Falls, hasApproximateElevationGainOnTrail, over 2000 feet]
  • A. hasApproxElevationGainFt chosen
    Indicates that one entity is associated with an approximate amount of elevation gain, measured in feet, relative to another context or reference.
  • B. elevationGainRelativeToBase
    Indicates the amount of elevation increase of something compared to a defined base level.
  • C. hasTrailDifficulty
    Indicates the level of challenge or effort required to traverse a particular trail or route.
  • D. approximateElevationGainFromParadise
    Indicates the estimated amount of elevation gained when traveling from the location named Paradise to another specified point or along a specified route.
  • E. trailheadElevation
    Indicates the elevation at which a trail begins, typically measured at its starting point or trailhead.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69d98041a3548190a05ddd83dbb660fa completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:06 p.m.