Triple

T17752902
Position Surface form Disambiguated ID Type / Status
Subject Poisson distribution with P(s) = e^{-s} E443155 entity
Predicate instanceOf P0 FINISHED
Object reference model in spectral statistics C26339 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: reference model in spectral statistics
Context triple: [Poisson distribution with P(s) = e^{-s}, instanceOf, reference model in spectral statistics]
  • A. spectroscopic approximation
    A spectroscopic approximation is a simplified theoretical or computational model used to estimate spectroscopic properties (such as energy levels, transition frequencies, or intensities) by neglecting or approximating certain physical effects to make calculations tractable.
  • B. 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.
  • C. statistical model chosen
    A statistical model is a mathematical representation of observed data and underlying random processes, used to describe relationships, make inferences, and generate predictions.
  • D. statistical closure theory
    Statistical closure theory is a framework in which an infinite hierarchy of statistical moment equations for a complex system is approximated by expressing higher-order moments in terms of lower-order ones, yielding a tractable closed set of equations.
  • E. statistical framework
    A statistical framework is a structured set of principles, assumptions, and methods that guides how data are collected, modeled, analyzed, and interpreted to draw valid inferences about underlying phenomena.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
Created at: April 10, 2026, 10:10 a.m.