Triple

T31703449
Position Surface form Disambiguated ID Type / Status
Subject q-Gaussian distribution E809119 entity
Predicate instanceOf P0 FINISHED
Object generalized Gaussian distribution C1604 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 Gaussian distribution
Context triple: [q-Gaussian distribution, instanceOf, generalized Gaussian distribution]
  • A. statistical distribution chosen
    A statistical distribution is a conceptual model that describes how the values of a random variable are spread or likely to occur across its possible range.
  • 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. grain distribution law
    A grain distribution law is a conceptual rule or model that describes how grain sizes or quantities are statistically spread within a material, system, or population.
  • D. random variable functional
    A random variable functional is a mapping that takes one or more random variables (or their distributions) as input and returns a real-valued quantity summarizing some aspect of their probabilistic behavior.
  • E. Green’s function in Euclidean space
    A Green’s function in Euclidean space is a fundamental solution to a linear differential operator that represents the response at one point due to a unit source located at another point, enabling the construction of solutions to boundary value problems via superposition.
  • 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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
Created at: April 30, 2026, 11:13 p.m.