Triple
T15361002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Vapnik |
E367287
|
entity |
| Predicate | coDeveloped |
P6901
|
FINISHED |
| Object |
Vapnik–Chervonenkis theory
Vapnik–Chervonenkis theory is a foundational framework in statistical learning that characterizes the capacity and generalization ability of learning algorithms through concepts like VC dimension.
|
E1154230
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d85a1483788190ad93c2748e8af34b |
elicitation | completed |
| NER | batch_69e03e4607408190ab281a7f7a8012d3 |
ner | completed |
| NED1 | batch_69ff1343862481908962dfe0ab946b97 |
ned_source_triple | completed |
| NED2 | batch_69ff14e1a7b881909ad2ba0d35847ea1 |
ned_description | completed |
| NEDg | batch_69ff143c0e448190b4775711ee7545d1 |
nedg | completed |
Created at: April 10, 2026, 3:18 a.m.