Triple

T2245083
Position Surface form Disambiguated ID Type / Status
Subject Adriaan Fokker E49483 entity
Predicate hasNameInFormula P36446 FINISHED
Object Fokker–Planck equation E8633 NE FINISHED

How this triple was built (3 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: Fokker–Planck equation | Statement: [Adriaan Fokker, hasNameInFormula, Fokker–Planck equation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fokker–Planck equation
Context triple: [Adriaan Fokker, hasNameInFormula, Fokker–Planck equation]
  • A. Fokker–Planck equation chosen
    The Fokker–Planck equation is a partial differential equation that describes the time evolution of the probability density function of a stochastic (random) process, such as Brownian motion.
  • B. Boltzmann equation
    The Boltzmann equation is a fundamental kinetic theory equation that describes the statistical behavior and time evolution of a dilute gas or particle distribution in phase space due to streaming and collisions.
  • C. Kolmogorov backward equation
    The Kolmogorov backward equation is a fundamental partial differential equation in stochastic processes that characterizes the time evolution of expected values of functionals of Markov processes, complementary to the Fokker–Planck (forward) equation.
  • D. Feynman–Kac formula
    The Feynman–Kac formula is a fundamental result connecting solutions of certain partial differential equations with expectations over stochastic processes, forming a bridge between quantum mechanics, probability theory, and mathematical finance.
  • E. Boltzmann–BGK equation
    The Boltzmann–BGK equation is a simplified kinetic model that replaces the complex collision term of the Boltzmann equation with a single relaxation-time approximation to describe gas particle dynamics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInFormula
Context triple: [Adriaan Fokker, hasNameInFormula, Fokker–Planck equation]
  • A. hasNameFunction
    Indicates that an entity is associated with a function whose purpose is to provide or determine its name.
  • B. hasProperName
    Indicates that an entity is associated with a specific proper name used to uniquely identify it.
  • C. hasNameInCaseTitle
    Indicates that a legal case’s title explicitly contains the name of the referenced entity.
  • D. hasNameInEvent
    Indicates that an entity is associated with a specific name or label within the context of a particular event.
  • E. hasFieldName
    Indicates that one entity is associated with, or identified by, a specific field name in a data structure or schema.
  • F. None of above. chosen

Provenance (5 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0e8d5648190915ff689c7ca42bc completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c1edd081909acbb8b1915ce0d6 completed March 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abbdb160248190aa75b38f11ad8602 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbe4252688190944491a450383450 completed March 7, 2026, 5:57 a.m.
Created at: March 4, 2026, 7:47 p.m.