Triple
T4249982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susten Pass |
E95824
|
entity |
| Predicate | maximumRoadGradient |
P46516
|
FINISHED |
| Object | about 9 percent |
—
|
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 9 percent | Statement: [Susten Pass, maximumRoadGradient, about 9 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumRoadGradient Context triple: [Susten Pass, maximumRoadGradient, about 9 percent]
-
A.
maximumGradient
chosen
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
-
B.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
E.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9f11008190a0021e0ad730a79d |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.