Triple

T4927315

Position	Surface form	Disambiguated ID	Type / Status
Subject	Weierstrass M-test	`E110608`	entity
Predicate	instanceOf	`P0`	FINISHED
Object	criterion for uniform convergence	`C17473`	CONCEPT FINISHED

Disambiguation candidates (1 decision)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

CD Concept disambiguation gpt-5-mini-2025-08-07

Target class: criterion for uniform convergence
Context triple: [Weierstrass M-test, instanceOf, criterion for uniform convergence]

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. complete metric space
A complete metric space is a metric space in which every Cauchy sequence converges to a limit that lies within the space.
C. 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.
D. stability concept in functional equations
A stability concept in functional equations studies how small deviations from an exact functional relationship affect the existence and form of nearby exact solutions, typically quantifying when approximate solutions imply true solutions close in some specified sense.
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. chosen

Provenance (1 batch)

Stage	Batch ID	Job type	Status
creating	`batch_69bd4415190c8190817bee7ec9f9f944`	elicitation	completed

Created at: March 20, 2026, 1:30 p.m.