Triple
T8716792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian monsoon system |
E206915
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | large-scale atmospheric circulation pattern |
C3904
|
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: large-scale atmospheric circulation pattern Context triple: [Asian monsoon system, instanceOf, large-scale atmospheric circulation pattern]
-
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.
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.
-
C.
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.
-
D.
climate phenomenon
chosen
A climate phenomenon is a recurring or notable pattern or event in the Earth’s climate system, such as El Niño or monsoon cycles, that significantly influences weather and environmental conditions over large regions and timescales.
-
E.
regional wind
A regional wind is a persistent or recurring air movement pattern that is characteristic of and largely confined to a specific geographic area, influenced by local topography, land–sea contrasts, and regional climate conditions.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.