Triple

T8483112
Position Surface form Disambiguated ID Type / Status
Subject PixelCNN E200565 entity
Predicate factorizes P42358 FINISHED
Object image distribution into product of conditional pixel distributions 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: image distribution into product of conditional pixel distributions | Statement: [PixelCNN, factorizes, image distribution into product of conditional pixel distributions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: factorizes
Context triple: [PixelCNN, factorizes, image distribution into product of conditional pixel distributions]
  • A. primeFactorization
    Indicates that one entity is the decomposition of another entity into a multiset or sequence of prime factors whose product equals the original.
  • B. yieldsDecomposition chosen
    Indicates that one entity produces or results in a particular breakdown or decomposition of another entity.
  • C. agreesWithFactorialOn
    Indicates that a function or expression produces the same values as the factorial function for all inputs in a specified domain.
  • D. hasPrimeDecomposition
    Indicates that an entity is associated with the factorization of a number into its constituent prime factors.
  • E. bitLengthFactorization
    Indicates a relationship where the bit-length of a number is determined or constrained by the factorization of that number.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53845e881909eeb32863c7aa942 completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:12 p.m.