Triple
T18990489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Gulch waterfall |
E464668
|
entity |
| Predicate | trailLengthToViewpoint |
P35279
|
FINISHED |
| Object | about 3 miles round trip |
—
|
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 3 miles round trip | Statement: [Russian Gulch waterfall, trailLengthToViewpoint, about 3 miles round trip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trailLengthToViewpoint Context triple: [Russian Gulch waterfall, trailLengthToViewpoint, about 3 miles round trip]
-
A.
trailDistanceContext
Indicates the contextual distance or separation between entities along a trail, path, or route.
-
B.
approximateRoundTripDistanceFromTrailhead
chosen
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
C.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
D.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
E.
distanceToSummit
Indicates the measured or estimated distance remaining from a given point to the summit of a feature or elevation.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6632cb08190a28f6ab74c2156d8 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.