Triple
T25608484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conundrum Hot Springs |
E641977
|
entity |
| Predicate | hikingDistanceOneWay |
P63487
|
FINISHED |
| Object | approximately 13.7 kilometers |
—
|
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 13.7 kilometers | Statement: [Conundrum Hot Springs, hikingDistanceOneWay, approximately 13.7 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hikingDistanceOneWay Context triple: [Conundrum Hot Springs, hikingDistanceOneWay, approximately 13.7 kilometers]
-
A.
hikeLength
Indicates the distance or duration associated with a hiking activity or trail.
-
B.
approximateHikeTimeRoundTrip
Indicates the estimated total time required to complete a hike from the starting point to the destination and back to the start.
-
C.
approximateRoundTripDistanceFromTrailhead
Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
-
D.
trailDistanceApprox
chosen
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9e0d2e88190b51e1eded1627f94 |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 4:40 p.m.