Triple

T34471525
Position Surface form Disambiguated ID Type / Status
Subject Montel space E884920 entity
Predicate instanceOf P0 FINISHED
Object locally convex space class C61376 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: locally convex space class
Context triple: [Montel space, instanceOf, locally convex space class]
  • A. locally convex space chosen
    A locally convex space is a topological vector space whose topology is generated by a family of seminorms, so that every point has a neighborhood base consisting of convex sets.
  • B. Banach space (for suitable norms)
    A Banach space is a vector space over the real or complex numbers equipped with a norm (from a suitable class of norms) such that every Cauchy sequence with respect to that norm converges to a limit within the space.
  • C. 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.
  • D. nuclear space
    A nuclear space is a topological vector space in which every continuous linear map into an arbitrary Banach space is nuclear (i.e., can be approximated by finite-rank operators with rapidly decaying singular values), giving it strong compactness and approximation properties.
  • E. topological algebra
    A topological algebra is an algebra over a field that is also a topological vector space, where the algebraic operations (addition, scalar multiplication, and multiplication) are continuous with respect to the topology.
  • 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_69f349c880408190ade571c471ab154a completed April 30, 2026, 12:23 p.m.
Created at: May 1, 2026, 2:01 a.m.