Triple
T13283995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaufort High atmospheric pressure system |
E316392
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | atmospheric pressure system |
C16642
|
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 pressure system Context triple: [Beaufort High atmospheric pressure system, instanceOf, atmospheric pressure system]
-
A.
atmospheric feature
chosen
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–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.
climate system
The climate system is the interconnected set of components—including the atmosphere, oceans, land surface, cryosphere, and biosphere—that together determine Earth’s long-term weather patterns and energy balance.
-
D.
atmospheric engine
An atmospheric engine is an early type of heat engine that uses atmospheric pressure acting on a piston, following the condensation of steam in a cylinder, to produce mechanical work.
-
E.
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.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:27 p.m.