Triple
T20470981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermite interpolation |
E502191
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | numerical analysis method |
C410
|
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 analysis method Context triple: [Hermite interpolation, instanceOf, numerical analysis method]
-
A.
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.
-
B.
mathematical method
chosen
A mathematical method is a systematic procedure or algorithm used to solve problems, prove results, or analyze structures within mathematics.
-
C.
numerical integration method for ordinary differential equations
A numerical integration method for ordinary differential equations is an algorithmic procedure that approximates the solution of an ODE over discrete steps by iteratively updating the dependent variable using information about its derivative.
-
D.
stationary iterative method
A stationary iterative method is a numerical algorithm for solving linear systems that repeatedly updates an approximate solution using a fixed iteration matrix and rule that do not change between iterations.
-
E.
numerical stability condition
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.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:33 a.m.