Triple
T31414773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davisian model of landscape development |
E801362
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | geomorphological model |
C15174
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: geomorphological model Context triple: [Davisian model of landscape development, instanceOf, geomorphological model]
-
A.
geological model
A geological model is a conceptual or computational representation of the Earth's subsurface that integrates geological data and interpretations to describe the distribution and properties of rocks, structures, and fluids in three dimensions (and sometimes through time).
-
B.
topographical model
chosen
A topographical model is a conceptual representation that maps the spatial features and relationships of a terrain or surface, often including elevation, contours, and physical landmarks.
-
C.
geophysical model
A geophysical model is a mathematical or computational representation of Earth's physical properties and processes used to simulate, interpret, and predict geologic and geodynamic phenomena.
-
D.
loess landform
A loess landform is a landscape shaped by thick deposits of wind-blown, fine-grained silt that create fertile, easily eroded hills, cliffs, and plains.
-
E.
erosional landscape
An erosional landscape is a terrain shaped primarily by the removal and transport of soil and rock by agents such as water, wind, ice, and gravity, resulting in features like valleys, canyons, and cliffs.
- F. None of above.
Provenance (1 batch)
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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
Created at: April 30, 2026, 8:42 p.m.