Triple

T10023668
Position Surface form Disambiguated ID Type / Status
Subject Auto-Encoding Variational Bayes E200670 entity
Predicate assumesPrior P50642 FINISHED
Object simple prior over latent variables 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: simple prior over latent variables | Statement: [Auto-Encoding Variational Bayes, assumesPrior, simple prior over latent variables]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assumesPrior
Context triple: [Auto-Encoding Variational Bayes, assumesPrior, simple prior over latent variables]
  • A. assumes
    Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
  • B. isAssumedIn chosen
    Indicates that something is taken for granted or presumed to hold within a particular context, without requiring explicit proof or verification.
  • C. assumedRuleOf
    Indicates that one entity is presumed or taken to hold authoritative control, governance, or dominion over another entity, typically without definitive confirmation.
  • D. wasPrecededBy
    Indicates that one event, state, or entity occurred or existed earlier in time than another.
  • E. premise
    Indicates that a statement or proposition provides the foundational assumption or starting point from which a conclusion or inference is logically derived.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7c75548190aa604d90d63dc111 completed April 2, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:53 p.m.