Triple

T13266998
Position Surface form Disambiguated ID Type / Status
Subject Dirichlet process models E315947 entity
Predicate baseMeasureDefines P109216 FINISHED
Object distribution of cluster parameters 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: distribution of cluster parameters | Statement: [Dirichlet process models, baseMeasureDefines, distribution of cluster parameters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: baseMeasureDefines
Context triple: [Dirichlet process models, baseMeasureDefines, distribution of cluster parameters]
  • A. containsMeasure
    Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
  • B. measuredBy
    Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
  • C. typicalMeasure
    Indicates the standard or characteristic quantitative measure typically associated with something, such as its usual size, weight, duration, or other magnitude.
  • D. typeOfMeasure
    Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
  • E. measureType
    Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
  • F. None of above. chosen

Provenance (4 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
PDg Predicate description generation batch_69d99cf7f9c48190a6a4f452b4a2aefa completed April 11, 2026, 12:59 a.m.
Created at: April 9, 2026, 9:25 p.m.