Triple

T17798333
Position Surface form Disambiguated ID Type / Status
Subject Gaussian symplectic ensemble E444351 entity
Predicate instanceOf P0 FINISHED
Object ensemble in random matrix theory C30702 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: ensemble in random matrix theory
Context triple: [Gaussian symplectic ensemble, instanceOf, ensemble in random matrix theory]
  • A. statistical ensemble chosen
    A statistical ensemble is a large collection of hypothetical copies of a system, each representing a possible microstate consistent with given macroscopic conditions, used to calculate average physical properties in statistical mechanics.
  • B. ensemble number
    An ensemble number is a unique identifier assigned to a specific musical ensemble, used to catalog, reference, and manage that group within a larger organizational or archival system.
  • C. 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.
  • D. theory of polynomial sequences
    A theory of polynomial sequences studies families of polynomials indexed by integers (or other discrete parameters), analyzing their algebraic, combinatorial, and analytic properties and the relations between successive terms.
  • E. generalization of the Ising model
    A generalization of the Ising model is a statistical physics framework that extends the original spin-½ lattice system to more complex spins, interactions, geometries, or degrees of freedom to describe a wider range of phase transitions and critical 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
Created at: April 10, 2026, 10:13 a.m.