Triple
T7415056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MixColumns |
E171107
|
entity |
| Predicate | usesConstantMatrix |
P9148
|
FINISHED |
| Object | [2 3 1 1; 1 2 3 1; 1 1 2 3; 3 1 1 2] over GF(2^8) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: [2 3 1 1; 1 2 3 1; 1 1 2 3; 3 1 1 2] over GF(2^8) | Statement: [MixColumns, usesConstantMatrix, [2 3 1 1; 1 2 3 1; 1 1 2 3; 3 1 1 2] over GF(2^8)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesConstantMatrix Context triple: [MixColumns, usesConstantMatrix, [2 3 1 1; 1 2 3 1; 1 1 2 3; 3 1 1 2] over GF(2^8)]
-
A.
usesConstant
chosen
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
B.
hasMatrixOperations
Indicates that an entity supports or provides functionality for performing matrix-related operations.
-
C.
numberOfIndependentMatrices
Indicates the count of matrices in a set that are linearly independent from each other.
-
D.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
E.
usesMultiaxialSystem
Indicates that one entity applies or operates according to a multiaxial classification or measurement system in relation to another entity or context.
- F. None of above.
Provenance (3 batches)
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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c643248190a387abba2f482b25 |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.