Triple
T25493242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor microscale |
E638889
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | turbulence length scale |
C4064
|
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: turbulence length scale Context triple: [Taylor microscale, instanceOf, turbulence length scale]
-
A.
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.
-
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.
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.
-
D.
length scale
chosen
A length scale is a characteristic measure of distance that defines the size, range, or spatial extent over which physical processes or phenomena are significant.
-
E.
vortex shedding pattern
A vortex shedding pattern is the repeating sequence of alternating vortices formed downstream of a bluff body as fluid flows past it, typically creating a characteristic oscillating wake.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 2:39 p.m.