Triple
T8577178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PixelRNN |
E203075
|
entity |
| Predicate | architectureVariant |
P24956
|
FINISHED |
| Object |
Diagonal BiLSTM
Diagonal BiLSTM is a recurrent neural network architecture used in PixelRNN models to efficiently capture two-dimensional spatial dependencies in images by processing pixels along diagonals with bidirectional LSTMs.
|
E743715
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca8328ebe481909a8c038fa79959b4 |
elicitation | completed |
| NER | batch_69cc457ab8b08190a53c730417288deb |
ner | completed |
| NED1 | batch_69ce899dd7d48190b44338b92ad68bd0 |
ned_source_triple | completed |
| NED2 | batch_69ce8d595d80819093a1b849bcb3c7c7 |
ned_description | completed |
| NEDg | batch_69ce8c7ad5cc8190a50c8e15ce353d1d |
nedg | completed |
Created at: March 30, 2026, 6:22 p.m.