Triple
T26242615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FloTHERM |
E656354
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computational fluid dynamics software |
C1717
|
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: computational fluid dynamics software Context triple: [FloTHERM, instanceOf, computational fluid dynamics software]
-
A.
high-performance computing software
High-performance computing software consists of specialized programs and frameworks designed to efficiently execute large-scale, compute-intensive tasks by exploiting parallelism and advanced hardware architectures such as clusters, supercomputers, and GPUs.
-
B.
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.
-
C.
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.
-
D.
computational tool
chosen
A computational tool is a software or hardware resource designed to perform, automate, or assist with data processing, analysis, or problem-solving tasks.
-
E.
first-principles simulation software
Software that numerically solves fundamental physical equations (e.g., quantum mechanics, statistical mechanics) from basic principles, without empirical fitting, to predict material or system behavior.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:04 p.m.