Triple
T21950462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charney–Eliassen model |
E542053
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | quasi-geostrophic model |
C14578
|
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: quasi-geostrophic model Context triple: [Charney–Eliassen model, instanceOf, quasi-geostrophic model]
-
A.
atmospheric general circulation model
An atmospheric general circulation model is a complex numerical model that simulates the three-dimensional, large-scale movement of air and energy in Earth’s atmosphere to study and predict climate and weather patterns.
-
B.
numerical weather prediction model
chosen
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
-
C.
Lagrangian turbulence model
A Lagrangian turbulence model is a computational approach that simulates turbulent flows by tracking the trajectories and interactions of individual fluid particles or parcels over time.
-
D.
radiative–convective model
A radiative–convective model is a simplified atmospheric model that balances radiative energy transfer with convective heat transport to simulate vertical temperature profiles and climate behavior.
-
E.
turbulence model
A turbulence model is a mathematical framework used in fluid dynamics to approximate the effects of turbulent flow on momentum, energy, and other transported quantities without resolving all turbulent scales directly.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 7:58 p.m.