Triple

T19050602
Position Surface form Disambiguated ID Type / Status
Subject Dirichlet principle E466246 entity
Predicate involvesConcept P531 FINISHED
Object Dirichlet energy NE NERFINISHED

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: Dirichlet energy | Statement: [Dirichlet principle, involvesConcept, Dirichlet energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirichlet energy
Context triple: [Dirichlet principle, involvesConcept, Dirichlet energy]
  • A. Poincaré inequality
    The Poincaré inequality is a fundamental result in functional analysis and partial differential equations that bounds the average oscillation of a function by the size of its gradient, playing a key role in Sobolev space theory and the study of elliptic problems.
  • B. Dirichlet forms
    Dirichlet forms are symmetric, closed, bilinear forms on function spaces that provide a powerful analytic framework for studying Markov processes and potential theory.
  • C. Dirichlet Laplacian
    The Dirichlet Laplacian is the Laplace operator on a domain equipped with Dirichlet boundary conditions, typically used to study eigenvalue problems and diffusion processes where the function vanishes on the boundary.
  • D. Dirichlet problem
    The Dirichlet problem is a fundamental boundary value problem in potential theory and partial differential equations, asking for a function that solves a specified PDE inside a domain while taking prescribed values on the domain’s boundary.
  • E. Sobolev inequality
    The Sobolev inequality is a fundamental result in functional analysis and partial differential equations that bounds the size of a function in certain Lebesgue spaces by the size of its derivatives, enabling key embedding and regularity properties.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dirichlet energy
Target entity description: Dirichlet energy is a functional that measures the “smoothness” of a function, typically defined as the integral of the squared gradient and central to variational formulations of harmonic functions and potential theory.
  • A. Poincaré inequality
    The Poincaré inequality is a fundamental result in functional analysis and partial differential equations that bounds the average oscillation of a function by the size of its gradient, playing a key role in Sobolev space theory and the study of elliptic problems.
  • B. Dirichlet forms
    Dirichlet forms are symmetric, closed, bilinear forms on function spaces that provide a powerful analytic framework for studying Markov processes and potential theory.
  • C. Dirichlet Laplacian
    The Dirichlet Laplacian is the Laplace operator on a domain equipped with Dirichlet boundary conditions, typically used to study eigenvalue problems and diffusion processes where the function vanishes on the boundary.
  • D. Dirichlet problem
    The Dirichlet problem is a fundamental boundary value problem in potential theory and partial differential equations, asking for a function that solves a specified PDE inside a domain while taking prescribed values on the domain’s boundary.
  • E. Sobolev inequality
    The Sobolev inequality is a fundamental result in functional analysis and partial differential equations that bounds the size of a function in certain Lebesgue spaces by the size of its derivatives, enabling key embedding and regularity properties.
  • F. None of above. chosen

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc02597c8190b39fd2c7b7e42258 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.