Triple
T17752808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian orthogonal ensemble |
E443153
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Gaussian random matrix ensemble |
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: Gaussian random matrix ensemble Context triple: [Gaussian orthogonal ensemble, instanceOf, Gaussian random matrix ensemble]
-
A.
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.
-
B.
Euclidean correlation function
A Euclidean correlation function is a Green’s function defined in Euclidean (imaginary-time) spacetime that encodes the correlations between field operators at different points and is related to physical, real-time correlation functions by analytic continuation.
-
C.
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.
-
D.
structured matrix
A structured matrix is a matrix whose entries follow a specific pattern or rule (such as Toeplitz, circulant, or banded structure), enabling more efficient storage and computation than a general dense matrix.
-
E.
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.
- 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.