Triple

T32308258
Position Surface form Disambiguated ID Type / Status
Subject Cauchy net E825424 entity
Predicate instanceOf P0 FINISHED
Object generalization of Cauchy sequence C60080 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 Cauchy sequence
Context triple: [Cauchy net, instanceOf, generalization of Cauchy sequence]
  • A. 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.
  • B. 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.
  • C. generalization of Taylor series
    A generalization of Taylor series is an expansion technique that represents functions using broader sets of basis functions or more flexible convergence conditions than standard power series, allowing approximation of a wider class of functions.
  • D. criterion for uniform convergence
    A criterion for uniform convergence is a condition or set of conditions that allows one to determine whether a sequence (or series) of functions converges uniformly to a limiting function on a given domain.
  • E. mathematical constant sequence
    A mathematical constant sequence is an ordered list of numbers where each term is the same fixed value, typically representing a specific constant repeated indefinitely.
  • 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_69f3491213b88190a57094d8697a7455 completed April 30, 2026, 12:20 p.m.
Created at: May 1, 2026, 12:45 a.m.