Triple

T645527
Position Surface form Disambiguated ID Type / Status
Subject A fast learning algorithm for deep belief nets E11232 entity
Predicate proposesMethod P859 FINISHED
Object stacking restricted Boltzmann machines 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: stacking restricted Boltzmann machines | Statement: [A fast learning algorithm for deep belief nets, proposesMethod, stacking restricted Boltzmann machines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: proposesMethod
Context triple: [A fast learning algorithm for deep belief nets, proposesMethod, stacking restricted Boltzmann machines]
  • A. proposes
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • B. method chosen
    Indicates the technique, procedure, or process used by an entity to perform an action or achieve a result.
  • C. propagationMethod
    Indicates the means or mechanism by which something spreads, reproduces, or is transmitted from one entity or location to another.
  • D. proposedByBody
    Indicates that something (such as a decision, measure, or action) has been formally put forward or initiated by a specific governing or organizational body.
  • E. proposedInContextOf
    Indicates that something (such as an idea, action, or change) was proposed specifically within, and in relation to, a particular situation, setting, or surrounding circumstances.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69a49d0a0ab481909871461418a00be7 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.