Triple
T8148979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Muir |
E190285
|
entity |
| Predicate | approximateElevationGainFromParadise |
P80811
|
FINISHED |
| Object | about 4,600 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: about 4,600 feet | Statement: [Camp Muir, approximateElevationGainFromParadise, about 4,600 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateElevationGainFromParadise Context triple: [Camp Muir, approximateElevationGainFromParadise, about 4,600 feet]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
elevationFeetApproximate
Indicates the approximate elevation of an entity above sea level, measured in feet.
-
D.
highestPassApproxElevation
Indicates the approximate elevation of the highest pass along a given route or within a specified area.
-
E.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
- F. None of above. chosen
Provenance (4 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447fc4308190b9436b0fe51a70a5 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.