Triple
T6062007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dissected Till Plains |
E135054
|
entity |
| Predicate | typicalSlope |
P20528
|
FINISHED |
| Object | gently rolling to moderately steep slopes |
—
|
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 rolling to moderately steep slopes | Statement: [Dissected Till Plains, typicalSlope, gently rolling to moderately steep slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSlope Context triple: [Dissected Till Plains, typicalSlope, gently rolling to moderately steep slopes]
-
A.
slopeType
chosen
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
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.
-
C.
slopeUse
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
D.
typicalEdge
Indicates a standard or representative connection between two entities, as opposed to a special or exceptional type of edge.
-
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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0572100e8819084c3174921a2d527 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.