Triple
T22251202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eady–Eliassen model |
E549982
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | baroclinic instability model |
C46003
|
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: baroclinic instability model Context triple: [Eady–Eliassen model, instanceOf, baroclinic instability model]
-
A.
numerical weather prediction model
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
-
B.
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.
-
C.
one-dimensional climate model
A one-dimensional climate model is a simplified representation of the climate system that varies along a single spatial dimension (typically vertical or latitudinal) to study energy balance, temperature profiles, and basic climate processes.
-
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.
climate model
A climate model is a computational representation of the Earth’s climate system that simulates interactions among the atmosphere, oceans, land surface, and ice to project past, present, and future climate conditions.
- F. None of above. chosen
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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:39 p.m.