Triple
T24725992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refugio Grey |
E618150
|
entity |
| Predicate | nearTrailFeature |
P144021
|
FINISHED |
| Object | suspension bridges over Grey Glacier viewpoints |
—
|
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: suspension bridges over Grey Glacier viewpoints | Statement: [Refugio Grey, nearTrailFeature, suspension bridges over Grey Glacier viewpoints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearTrailFeature Context triple: [Refugio Grey, nearTrailFeature, suspension bridges over Grey Glacier viewpoints]
-
A.
hasNearbyTrailFeature
chosen
Indicates that one entity has another entity as a trail-related feature located in close physical proximity.
-
B.
hasNearbyTrailheadFor
Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
-
C.
nearestMajorTrailPass
Indicates the relationship where a given location is associated with the closest significant trail crossing or pass along a major trail network.
-
D.
hasNearbyTrail
Indicates that one entity is located close to or within a short distance of a trail.
-
E.
nearScenicRoute
Indicates that one entity is located close to a route or path that is considered scenic or visually appealing.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:57 a.m.