Triple
T22936557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Glacier route |
E569601
|
entity |
| Predicate | approachDistance |
P59619
|
FINISHED |
| Object | approximately 17 miles one way to glacier |
—
|
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: approximately 17 miles one way to glacier | Statement: [Blue Glacier route, approachDistance, approximately 17 miles one way to glacier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachDistance Context triple: [Blue Glacier route, approachDistance, approximately 17 miles one way to glacier]
-
A.
haveTypicalApproachDistance
Indicates that there is a characteristic or standard distance typically maintained when approaching something.
-
B.
approachArea
Indicates that an entity moves toward or comes closer to a specified area or region.
-
C.
closestApproachDistance
chosen
Indicates the minimum distance between two entities at the point where they come closest to each other during their motion or interaction.
-
D.
usedToApproach
Indicates that one entity employed another entity as a means or method to move closer to or reach a target entity or location.
-
E.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813608e48190922df7a5386dc391 |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.