Triple
T30460022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamsay Mountain |
E774976
|
entity |
| Predicate | slopeProfile |
P20528
|
FINISHED |
| Object | gently sloping |
—
|
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: gently sloping | Statement: [Yamsay Mountain, slopeProfile, gently sloping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeProfile Context triple: [Yamsay Mountain, slopeProfile, gently sloping]
-
A.
slopeType
chosen
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
altitudeProfile
Indicates the variation of elevation or height along a path, route, or trajectory over distance or time.
-
C.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
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.
roadMaximumGradient
Indicates the steepest allowable slope or incline specified for a road segment.
- 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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686f01dc88190a6ca46fc5c80a486 |
completed | May 2, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:10 p.m.