Triple
T17676442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SparseMatrixCSC |
E440652
|
entity |
| Predicate | nonzeroPattern |
P128516
|
FINISHED |
| Object | defined by rowval and colptr |
—
|
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: defined by rowval and colptr | Statement: [SparseMatrixCSC, nonzeroPattern, defined by rowval and colptr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonzeroPattern Context triple: [SparseMatrixCSC, nonzeroPattern, defined by rowval and colptr]
-
A.
isNonzeroFor
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
B.
hasOffDiagonalEntries
Indicates that a matrix or similar structured object contains at least one non-zero element outside its main diagonal.
-
C.
isNonZeroBecause
Indicates that a value is non-zero specifically due to the stated cause, reason, or contributing factor.
-
D.
forNonSingularPoint
Indicates that the relationship or condition applies only when the referenced point is not a single, isolated point (i.e., it is non-singular).
-
E.
nontrivialZerosRegion
Indicates that the nontrivial zeros of a function (typically the Riemann zeta function) lie within a specified region of the complex plane.
- F. None of above. chosen
Provenance (4 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:01 a.m.