Triple
T3983822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephant Mountain |
E86821
|
entity |
| Predicate | hasApproximateHikingTime |
P30396
|
FINISHED |
| Object | about 15–30 minutes to main viewpoint |
—
|
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: about 15–30 minutes to main viewpoint | Statement: [Elephant Mountain, hasApproximateHikingTime, about 15–30 minutes to main viewpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateHikingTime Context triple: [Elephant Mountain, hasApproximateHikingTime, about 15–30 minutes to main viewpoint]
-
A.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
-
B.
hikeLength
chosen
Indicates the distance or duration associated with a hiking activity or trail.
-
C.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
D.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
E.
approximateAscentTimeFromRefuge
Indicates the estimated amount of time required to ascend from a specified refuge to a target point or destination.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.