Triple
T22251116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliassen–Palm theorem |
E549980
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in atmospheric dynamics |
C46000
|
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: result in atmospheric dynamics Context triple: [Eliassen–Palm theorem, instanceOf, result in atmospheric dynamics]
-
A.
atmospheric feature
An atmospheric feature is any distinguishable structure, pattern, or phenomenon within a planet’s atmosphere, such as clouds, storms, or jet streams, that arises from atmospheric dynamics and composition.
-
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.
atmospheric–oceanic oscillation
An atmospheric–oceanic oscillation is a large-scale, recurring pattern of coupled variations in the atmosphere and ocean that influences climate and weather over seasonal to multidecadal timescales.
-
D.
atmospheric reanalysis system
An atmospheric reanalysis system is a data assimilation framework that combines historical observations with numerical weather prediction models to produce consistent, gridded reconstructions of past atmospheric states.
-
E.
atmospheric science research program
An atmospheric science research program is an organized, often multi-institutional effort that systematically studies the physics, chemistry, and dynamics of the atmosphere to improve understanding, prediction, and management of weather, climate, and air quality.
- 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.