Triple

T36490457
Position Surface form Disambiguated ID Type / Status
Subject Fast Decoding in Sequence Models Using Discrete Latent Variables E899037 entity
Predicate typeOfDecoding GENERATED
Object non-strictly-autoregressive decoding UNRECOGNIZED GENERATED

How this triple was built (1 step)

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.

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 (1 batch)

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.
Created at: May 3, 2026, 4:10 p.m.