Triple
T37308467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAO index |
E926141
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | atmospheric circulation index |
C3905
|
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: atmospheric circulation index Context triple: [NAO index, instanceOf, atmospheric circulation index]
-
A.
atmospheric–oceanic oscillation
chosen
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.
-
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.
MJO index component
A MJO index component is a numerical measure representing one dimension of the Madden–Julian Oscillation’s spatial or temporal variability, used to quantify its phase and amplitude in climate and weather analyses.
-
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 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.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.