Triple

T32669309
Position Surface form Disambiguated ID Type / Status
Subject ELBO E835245 entity
Predicate maximizationEquivalentTo P90301 FINISHED
Object minimizing KL divergence between variational posterior and true posterior 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: minimizing KL divergence between variational posterior and true posterior | Statement: [ELBO, maximizationEquivalentTo, minimizing KL divergence between variational posterior and true posterior]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximizationEquivalentTo
Context triple: [ELBO, maximizationEquivalentTo, minimizing KL divergence between variational posterior and true posterior]
  • A. isMaximizationProblem
    Indicates that the associated optimization task is formulated to maximize an objective function rather than minimize it.
  • B. hasEquivalentFormulation chosen
    Indicates that two representations, statements, or formulations express the same underlying meaning, condition, or effect, even if they differ in form.
  • C. maximalityConcept
    Indicates that one concept is maximal with respect to a given ordering or property, such that no other comparable concept strictly exceeds it under that criterion.
  • D. equivalentTo
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • E. maxim
    Indicates a general principle or rule that guides or characterizes an entity’s behavior, decisions, or actions.
  • 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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 1, 2026, 1:08 a.m.