Triple
T29436242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riesz transforms |
E746579
|
entity |
| Predicate | isConvolutionOperator |
P90314
|
FINISHED |
| Object | true (in distribution sense) |
—
|
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: true (in distribution sense) | Statement: [Riesz transforms, isConvolutionOperator, true (in distribution sense)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConvolutionOperator Context triple: [Riesz transforms, isConvolutionOperator, true (in distribution sense)]
-
A.
hasConvolutionProperty
chosen
Indicates that one entity possesses a convolution-related characteristic or behavior in relation to another entity or operation.
-
B.
convolutionIdentity
Indicates that one element acts as the identity under convolution, leaving the other element unchanged when convolved with it.
-
C.
isQuantizationOf
Indicates that one entity is a quantized or discretized version of another, typically transforming a continuous model, signal, or system into a discrete counterpart.
-
D.
inverseConvolution
Indicates the operation that reverses or undoes a prior convolution, recovering an original signal or function from its convolved form.
-
E.
isComplexValued
Indicates that the associated quantity, function, or variable takes values in the complex numbers (having both real and imaginary components).
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 3:16 p.m.