Triple
T8715828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekman layer |
E206891
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | boundary layer |
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: boundary layer Context triple: [Ekman layer, instanceOf, boundary layer]
-
A.
turbulence model
A turbulence model is a mathematical framework used in fluid dynamics to approximate the effects of turbulent flow on momentum, energy, and other transported quantities without resolving all turbulent scales directly.
-
B.
turbulence theory framework
A turbulence theory framework is a conceptual and mathematical structure that organizes the principles, models, and scaling laws used to describe, analyze, and predict turbulent fluid flows across different regimes and scales.
-
C.
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.
-
D.
katabatic wind
A katabatic wind is a gravity-driven downslope wind that occurs when dense, cold air flows from higher elevations to lower areas, often producing strong, gusty conditions in valleys and coastal regions.
-
E.
Lagrangian turbulence model
A Lagrangian turbulence model is a computational approach that simulates turbulent flows by tracking the trajectories and interactions of individual fluid particles or parcels over time.
- 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, 6:35 p.m.