Triple
T12491841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probabilistic Graphical Models: Principles and Techniques |
E298583
|
entity |
| Predicate | field |
P3
|
FINISHED |
| Object |
probabilistic graphical models
Probabilistic graphical models are a framework in machine learning and statistics that represent complex joint probability distributions using graphs to capture conditional dependencies among random variables.
|
E993536
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6ada377208190a36011199a4d8558 |
elicitation | completed |
| NER | batch_69d94de3076c81909640c982d520ca6b |
ner | completed |
| NED1 | batch_69f65eaabadc81908f8af6bc10ce3238 |
ned_source_triple | completed |
| NED2 | batch_69f660c3d914819097b57784889ca389 |
ned_description | completed |
| NEDg | batch_69f65fadc97081908376913e390cfc3d |
nedg | completed |
Created at: April 8, 2026, 9:56 p.m.