Triple
T31898321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKB approximation |
E814350
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | asymptotic analysis technique |
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: asymptotic analysis technique Context triple: [WKB approximation, instanceOf, asymptotic analysis technique]
-
A.
phenomenon in asymptotic analysis
A phenomenon in asymptotic analysis is a recurring qualitative behavior or pattern in the limiting behavior of functions, sequences, or algorithms as a parameter (often size or time) tends to infinity.
-
B.
technique in analysis
A technique in analysis is a systematic method or procedure used to examine, simplify, or solve mathematical problems involving limits, continuity, differentiation, integration, or related structures.
-
C.
analytic number theory technique
An analytic number theory technique is a method that applies tools from analysis—such as complex functions, series, and integrals—to study and solve problems about integers and their distribution.
-
D.
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.
-
E.
time complexity class
A time complexity class is a set of decision problems that can be solved by a computational model within a specified upper bound on running time as a function of input size.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
Created at: April 30, 2026, 11:59 p.m.