Triple
T7901890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrangian-history direct interaction approximation |
E183471
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | statistical turbulence model |
C324
|
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: statistical turbulence model Context triple: [Lagrangian-history direct interaction approximation, instanceOf, statistical turbulence model]
-
A.
numerical weather prediction model
A numerical weather prediction model is a computational system that uses mathematical equations and atmospheric data to simulate and forecast future weather conditions.
-
B.
theoretical model
chosen
A theoretical model is an abstract, simplified representation of a system or phenomenon used to explain, predict, or understand its behavior based on underlying principles and assumptions.
-
C.
wind tunnel
A wind tunnel is a controlled testing facility where air is driven past stationary objects to study aerodynamic properties such as lift, drag, and flow behavior.
-
D.
aerodynamic parameter
An aerodynamic parameter is a quantitative measure that characterizes the behavior of an object moving through a fluid, such as air, by describing forces, moments, or flow properties affecting its performance and stability.
-
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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
Created at: March 30, 2026, 5:02 p.m.