Triple
T17040858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | theta-method |
E413442
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | numerical time-stepping scheme |
C7231
|
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 time-stepping scheme Context triple: [theta-method, instanceOf, numerical time-stepping scheme]
-
A.
time-stepping scheme
chosen
A time-stepping scheme is a numerical method that advances the solution of time-dependent equations from one discrete time level to the next.
-
B.
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.
-
C.
shock-capturing scheme
A shock-capturing scheme is a numerical method for solving hyperbolic partial differential equations that automatically resolves shock waves and discontinuities without explicitly tracking their locations, typically using conservative formulations and nonlinear limiters.
-
D.
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.
-
E.
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.
- 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.