Triple
T25608627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckskin Pass |
E641980
|
entity |
| Predicate | hasApproximateElevationGainFromMaroonLake |
P94224
|
FINISHED |
| Object | 3000 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: 3000 feet | Statement: [Buckskin Pass, hasApproximateElevationGainFromMaroonLake, 3000 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateElevationGainFromMaroonLake Context triple: [Buckskin Pass, hasApproximateElevationGainFromMaroonLake, 3000 feet]
-
A.
hasApproximateRoundTripDistanceFromMaroonLake
Indicates that an entity has an approximate total round-trip distance measured from Maroon Lake.
-
B.
approximateElevationGainFromParadise
Indicates the estimated amount of elevation gained when traveling from the location named Paradise to another specified point or along a specified route.
-
C.
hasApproxElevationGainFt
chosen
Indicates that one entity is associated with an approximate amount of elevation gain, measured in feet, relative to another context or reference.
-
D.
elevationGainRelativeToBase
Indicates the amount of elevation increase of something compared to a defined base level.
-
E.
hasMountainPassNearby
Indicates that a mountain pass is located in close proximity to the referenced place or feature.
- 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_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 4:40 p.m.