Triple

T10803636
Position Surface form Disambiguated ID Type / Status
Subject Ornstein–Uhlenbeck process E254905 entity
Predicate hasTransitionDistribution P9754 FINISHED
Object normal distribution with time-dependent mean and variance 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: normal distribution with time-dependent mean and variance | Statement: [Ornstein–Uhlenbeck process, hasTransitionDistribution, normal distribution with time-dependent mean and variance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransitionDistribution
Context triple: [Ornstein–Uhlenbeck process, hasTransitionDistribution, normal distribution with time-dependent mean and variance]
  • A. hasDistributionFunction chosen
    Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
  • B. isTransitionalBetween
    Indicates that something serves as an intermediate or bridging state, form, or phase between two other distinct states, forms, or phases.
  • C. hasTransformation
    Indicates that one entity changes or is converted into another entity, capturing a transformation process or result.
  • D. hasParallelTransit
    Indicates that one transit route, service, or segment runs in parallel to another along a similar path or corridor.
  • E. hasDistributions
    Indicates that an entity is associated with one or more distributions through which it is delivered, provided, or made available.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7336feff88190b638b7d62d34da0e completed April 9, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69d6f3188f00819094ee8d65b187a333 completed April 9, 2026, 12:30 a.m.
Created at: April 8, 2026, 9:18 p.m.