Triple
T22464506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Aulin High Sierra Camp |
E555314
|
entity |
| Predicate | trailDistanceFrom |
P63487
|
FINISHED |
| Object | about 5–6 miles from Tuolumne Meadows |
—
|
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 5–6 miles from Tuolumne Meadows | Statement: [Glen Aulin High Sierra Camp, trailDistanceFrom, about 5–6 miles from Tuolumne Meadows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailDistanceFrom Context triple: [Glen Aulin High Sierra Camp, trailDistanceFrom, about 5–6 miles from Tuolumne Meadows]
-
A.
trailDistanceContext
Indicates the contextual distance or separation between entities along a trail, path, or route.
-
B.
trailDistanceApprox
chosen
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
C.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
D.
trekDistanceFromRoadHead
Indicates the distance one must trek from the road head (road access point) to reach a specified location.
-
E.
tourDistanceApproxKm
Indicates an approximate total distance, measured in kilometers, covered during a tour or journey.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b82549c8190943c0940bb90bafc |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.