Triple
T36490457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Decoding in Sequence Models Using Discrete Latent Variables |
E899037
|
entity |
| Predicate | typeOfDecoding |
P14388
|
FINISHED |
| Object | non-strictly-autoregressive decoding |
—
|
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: non-strictly-autoregressive decoding | Statement: [Fast Decoding in Sequence Models Using Discrete Latent Variables, typeOfDecoding, non-strictly-autoregressive decoding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDecoding Context triple: [Fast Decoding in Sequence Models Using Discrete Latent Variables, typeOfDecoding, non-strictly-autoregressive decoding]
-
A.
decodingMethod
chosen
Indicates the technique or process used to convert encoded or encrypted data back into its original, interpretable form.
-
B.
decoderType
Indicates the specific kind or category of decoder associated with or used by an entity.
-
C.
decodingAbstraction
Indicates the process or relationship by which a concrete encoded form is interpreted into a more general, conceptual, or higher-level representation.
-
D.
typeOfDecoupling
Indicates the specific manner or mechanism by which two previously connected or interdependent entities are separated or made independent from each other.
-
E.
decompositionType
Indicates the specific way in which a whole is broken down into its constituent parts or 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a030e31e01881909c6032532cd3c31a |
completed | May 12, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_6a030dadea008190abe0a5652784bdd6 |
completed | May 12, 2026, 11:23 a.m. |
Created at: May 3, 2026, 4:10 p.m.