Triple
T13443990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolmogorov spectrum of turbulence |
E320433
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | scaling law in fluid dynamics |
C23148
|
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: scaling law in fluid dynamics Context triple: [Kolmogorov spectrum of turbulence, instanceOf, scaling law in fluid dynamics]
-
A.
turbulence theory framework
chosen
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.
-
B.
scalability law
A scalability law is a conceptual rule or mathematical relationship that describes how a system’s performance, capacity, or behavior changes as its size, load, or resources increase.
-
C.
fluid dynamics literature
Fluid dynamics literature encompasses scholarly and technical writings that analyze, model, and explain the behavior of fluids in motion and at rest across scientific, engineering, and applied contexts.
-
D.
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.
-
E.
fluid dynamicist
A fluid dynamicist is a scientist or engineer who studies and models the behavior of liquids and gases in motion to understand and predict flow phenomena.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:40 p.m.