Triple
T24654035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Ventoux |
E610336
|
entity |
| Predicate | roadMaximumGradient |
P46516
|
FINISHED |
| Object | about 11.5% |
—
|
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 11.5% | Statement: [Mont Ventoux, roadMaximumGradient, about 11.5%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadMaximumGradient Context triple: [Mont Ventoux, roadMaximumGradient, about 11.5%]
-
A.
railwayGradient
Indicates the slope or steepness of a railway track along its route.
-
B.
maximumGradient
chosen
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
-
C.
railroadGrade
Indicates that one entity is at the elevation or level of a railroad track or crossing relative to another entity.
-
D.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
-
E.
isMountainRoad
Indicates that a given road is classified as a mountain road, typically traversing or situated within mountainous terrain.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.