Triple
T32807756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ELL (ELLPACK) |
E839062
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | matrix representation |
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: matrix representation Context triple: [ELL (ELLPACK), instanceOf, matrix representation]
-
A.
mathematical representation
A mathematical representation is a formal, structured way of expressing abstract mathematical objects or relationships—such as numbers, functions, or systems—using symbols, equations, diagrams, or other mathematical constructs to enable analysis and reasoning.
-
B.
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.
-
C.
two-dimensional representation
A two-dimensional representation is a mapping of abstract elements or data into a flat plane using two axes or coordinates, enabling visualization and analysis of relationships in two spatial dimensions.
-
D.
representation of a group
A representation of a group is a homomorphism from that group into the group of linear transformations of a vector space, allowing the group’s abstract elements to be studied via concrete matrices or operators.
-
E.
representation theory framework
A representation theory framework is a conceptual structure that studies how abstract algebraic objects, such as groups or algebras, can be realized concretely as linear transformations on vector spaces to analyze their properties through matrices and linear operators.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:15 a.m.