Triple

T23587234
Position Surface form Disambiguated ID Type / Status
Subject Bernoulli distribution E582379 entity
Predicate probabilityMassFunction P150638 FINISHED
Object P(X=1)=p 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: P(X=1)=p | Statement: [Bernoulli distribution, probabilityMassFunction, P(X=1)=p]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: probabilityMassFunction
Context triple: [Bernoulli distribution, probabilityMassFunction, P(X=1)=p]
  • A. definesProbability
    Indicates that one entity specifies or assigns the probability value associated with another entity or event.
  • B. massFunction chosen
    Indicates a relationship that assigns a quantitative mass value or distribution to an entity or set of entities.
  • C. hasProbabilityDensityShape
    Indicates that one entity exhibits, is characterized by, or is associated with a particular shape or form of a probability density function.
  • D. hasDistributionFunction
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • E. derivativeDistribution
    Indicates a relationship where one entity is a financial derivative whose value or payoff is contractually based on, or distributed according to, the performance or characteristics of another underlying 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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b03195748190b7e34f334902ac93 completed April 29, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69f118c96a0081908a8ac98ef7e7e60c completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:41 p.m.