Triple
T4927184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weierstrass approximation theorem |
E110605
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | approximation theorem |
C716
|
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: approximation theorem Context triple: [Weierstrass approximation theorem, instanceOf, approximation theorem]
-
A.
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.
-
B.
functional analysis result
A functional analysis result is a formal conclusion or theorem that characterizes the behavior, structure, or properties of functions and operators on infinite-dimensional spaces, typically within the framework of normed, Banach, or Hilbert spaces.
-
C.
mathematical theorem
chosen
A mathematical theorem is a rigorously proven statement derived from axioms and previously established results, expressing a fundamental truth within a formal mathematical system.
-
D.
spectroscopic approximation
A spectroscopic approximation is a simplified theoretical or computational model used to estimate spectroscopic properties (such as energy levels, transition frequencies, or intensities) by neglecting or approximating certain physical effects to make calculations tractable.
-
E.
integration theory
Integration theory is a branch of mathematical analysis that rigorously defines and studies the process of assigning numerical values (integrals) to functions, generalizing area, accumulation, and measure concepts under various frameworks such as Riemann and Lebesgue integration.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:30 p.m.