Triple
T17676468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper bidiagonal matrix |
E440653
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Bidiagonal matrix |
C26958
|
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: Bidiagonal matrix Context triple: [Upper bidiagonal matrix, instanceOf, Bidiagonal matrix]
-
A.
structured matrix
chosen
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.
-
B.
binary operation on matrices
A binary operation on matrices is a rule that combines two matrices of compatible dimensions to produce a single matrix, such as matrix addition or multiplication.
-
C.
rank-2 tensor
A rank-2 tensor is a mathematical object that can be represented as a matrix whose components transform with two indices under a change of basis, generalizing linear maps and bilinear forms in vector spaces.
-
D.
result in linear algebra
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.
-
E.
numerical linear algebra library
A numerical linear algebra library is a collection of optimized routines and data structures for performing matrix and vector operations, decompositions, and related numerical computations.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
Created at: April 10, 2026, 10:01 a.m.