Triple
T2716893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron–Martin theorem |
E59985
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Gaussian process
A Gaussian process is a collection of random variables indexed by a set (often time or space) such that every finite subset has a joint multivariate normal distribution, widely used to model functions in probability theory and machine learning.
|
E292752
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ab4ac92a088190bc74bca14038e3de |
elicitation | completed |
| NER | batch_69abda964d4881908179b2a1b16411e4 |
ner | completed |
| NED1 | batch_69afb68c3ccc81909995d17651af27ed |
ned_source_triple | completed |
| NED2 | batch_69afb8205840819084ede24192bb0aa3 |
ned_description | completed |
| NEDg | batch_69afb77f60c08190928bd6a79fc82e8b |
nedg | completed |
Created at: March 6, 2026, 9:55 p.m.