Triple
T17341053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banach limit |
E421066
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generalized limit |
C38441
|
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: generalized limit Context triple: [Banach limit, instanceOf, generalized limit]
-
A.
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.
-
B.
analytic functional
An analytic functional is a continuous linear functional defined on a space of analytic functions, often represented via integration against a complex measure or distribution.
-
C.
generalization of Poisson bracket
A generalization of the Poisson bracket is a bilinear operation on functions (or observables) that extends the classical Poisson structure—often relaxing antisymmetry, the Jacobi identity, or locality—to encompass broader algebraic or geometric frameworks such as Nambu, Gerstenhaber, or higher/derived brackets.
-
D.
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.
-
E.
discrete analogue of differential calculus
A discrete analogue of differential calculus is a mathematical framework that extends concepts like derivatives, integrals, and differential equations to functions defined on discrete domains, typically using difference operators and summation.
- F. None of above. chosen
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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:44 a.m.