Triple

T24810354
Position Surface form Disambiguated ID Type / Status
Subject Stokes phenomenon E620767 entity
Predicate instanceOf P0 FINISHED
Object phenomenon in asymptotic analysis C49581 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: phenomenon in asymptotic analysis
Context triple: [Stokes phenomenon, instanceOf, phenomenon in asymptotic analysis]
  • A. phenomenon in analytic number theory
    A phenomenon in analytic number theory is a recurring pattern or behavior in the distribution or properties of numbers—often primes or arithmetic functions—that is revealed and studied using tools from complex analysis and asymptotic methods.
  • B. example in mathematical analysis
    An example in mathematical analysis is a specific function, sequence, or construction used to illustrate, test, or clarify a general concept, theorem, or phenomenon within the subject.
  • C. method for asymptotic evaluation of integrals
    A method for asymptotic evaluation of integrals is a collection of analytical techniques used to approximate the behavior of integrals in limiting regimes (such as large parameters) by extracting their dominant contributions.
  • D. pathological function in analysis
    A pathological function in analysis is a deliberately constructed example that defies typical intuitions—often satisfying formal definitions while exhibiting extreme or counterintuitive behavior, such as being continuous everywhere but differentiable nowhere.
  • E. result in complex analysis
    A result in complex analysis is a proven statement or theorem about functions of a complex variable, often revealing deep relationships between analytic, geometric, and topological properties in the complex plane.
  • 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_69e2fabf26bc8190b191faac8f67065b completed April 18, 2026, 3:30 a.m.
Created at: April 18, 2026, 4:50 a.m.