Triple
T25457170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkhoff–von Neumann theorem |
E637943
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | theorem in matrix theory |
C26953
|
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: theorem in matrix theory Context triple: [Birkhoff–von Neumann theorem, instanceOf, theorem in matrix theory]
-
A.
mathematical theorem
A mathematical theorem is a rigorously proven statement derived from axioms and previously established results, expressing a fundamental truth within a formal mathematical system.
-
B.
result in linear algebra
chosen
In linear algebra, a result is a proven statement or conclusion—such as a theorem, lemma, or corollary—that follows logically from definitions and previously established facts about vectors, matrices, and linear transformations.
-
C.
theorem in theoretical physics
A theorem in theoretical physics is a rigorously proven statement, derived from fundamental physical principles and mathematical formalism, that holds universally within the specified theoretical framework.
-
D.
random matrix ensemble
A random matrix ensemble is a collection of matrices whose entries are random variables specified by a probability distribution, studied to understand the statistical properties of their eigenvalues and eigenvectors.
-
E.
parameter in random matrix theory
A parameter in random matrix theory is a variable (such as matrix size, symmetry class index, or coupling constant) that controls the statistical properties and limiting behavior of ensembles of random matrices.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 21, 2026, 2:10 p.m.