Triple
T24822611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagrange’s variation of parameters method |
E621100
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | perturbation method |
C21311
|
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: perturbation method Context triple: [Lagrange’s variation of parameters method, instanceOf, perturbation method]
-
A.
perturbative method in quantum mechanics
A perturbative method in quantum mechanics is an approximate technique for solving complex quantum systems by expanding physical quantities in a power series around a solvable reference problem, treating the difference as a small correction.
-
B.
nonperturbative method
A nonperturbative method is a theoretical or computational approach that captures the full behavior of a system without relying on expansions in a small parameter, allowing it to describe strong-coupling or highly nonlinear regimes where perturbation theory fails.
-
C.
method for asymptotic evaluation of integrals
chosen
A method for asymptotic evaluation of integrals is a collection of analytical techniques used to approximate the behavior of integrals in limiting regimes (such as large parameters) by extracting their dominant contributions.
-
D.
partial differential equation
A partial differential equation is an equation that relates the partial derivatives of an unknown multivariable function, describing how it changes with respect to several independent variables.
-
E.
approximation
An approximation is a value, representation, or solution that is close to, but not exactly equal to, a true or ideal quantity, used when exactness is unnecessary or unattainable.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
Created at: April 18, 2026, 5:04 a.m.