Triple
T17040766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFL condition |
E413440
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | numerical stability criterion |
C15253
|
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: numerical stability criterion Context triple: [CFL condition, instanceOf, numerical stability criterion]
-
A.
numerical stability condition
chosen
A numerical stability condition is a mathematical requirement on the step size, discretization parameters, or algorithmic choices that ensures errors in a numerical method do not grow uncontrollably during computation.
-
B.
criterion in numerical analysis
A criterion in numerical analysis is a quantitative condition or rule—such as a tolerance, convergence test, or stopping condition—used to assess the accuracy, stability, or termination of an algorithm or computational method.
-
C.
plasma physics stability criterion
A plasma physics stability criterion is a theoretical condition, often expressed as an inequality involving plasma parameters and field configurations, that determines whether a given plasma equilibrium will remain stable or develop growing instabilities.
-
D.
criterion for convergence
A criterion for convergence is a specific test or condition used to determine whether a given sequence or series approaches a finite limit as its index or number of terms increases.
-
E.
astrophysical stability criterion
An astrophysical stability criterion is a theoretical condition or set of conditions used to determine whether an astronomical system (such as a star, disk, or gas cloud) will remain in equilibrium or undergo collapse, fragmentation, or other dynamical instabilities.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
Created at: April 10, 2026, 5:33 a.m.