Triple
T24336856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bochner integral |
E613404
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | generalization of Lebesgue integral |
C11643
|
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: generalization of Lebesgue integral Context triple: [Bochner integral, instanceOf, generalization of Lebesgue integral]
-
A.
generalization of Lebesgue spaces
A generalization of Lebesgue spaces is a function space framework that extends classical \(L^p\) spaces by relaxing or modifying their integrability, norm, or measure-theoretic structure to capture more nuanced behaviors of functions and distributions.
-
B.
integration theory
chosen
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.
-
C.
generalized limit
A generalized limit is an extension of the classical notion of limit that assigns “limit-like” values to sequences or functions (often including divergent ones) by relaxing or modifying the usual convergence requirements.
-
D.
measure-theoretic construction
A measure-theoretic construction is a rigorous method of building mathematical objects—such as measures, integrals, or probability spaces—by specifying σ-algebras, set functions, and limiting processes that satisfy the axioms of measure theory.
-
E.
integral
An integral is a fundamental mathematical concept that represents the accumulation of quantities, often interpreted as the area under a curve or the total of continuously varying values.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 18, 2026, 1:57 a.m.