Triple

T36487922
Position Surface form Disambiguated ID Type / Status
Subject Latent Dirichlet Allocation E898981 entity
Predicate hyperparameterBetaControls P123498 FINISHED
Object topic-word sparsity 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: topic-word sparsity | Statement: [Latent Dirichlet Allocation, hyperparameterBetaControls, topic-word sparsity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hyperparameterBetaControls
Context triple: [Latent Dirichlet Allocation, hyperparameterBetaControls, topic-word sparsity]
  • A. typicalParameterBeta
    Indicates that the referenced value is the typical or standard beta parameter used in a model, distribution, or process.
  • B. controlParameter chosen
    Indicates that one entity functions as a parameter that governs, tunes, or constrains the behavior or operation of another entity.
  • C. regularizationControlledBy
    Indicates that the regularization applied in a process, model, or system is governed, adjusted, or determined by a specific controlling factor or mechanism.
  • D. settingOfControl
    Indicates that one entity is the context or environment in which another entity exercises control or governance.
  • E. parametrizes
    Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:10 p.m.