Triple

T16249648
Position Surface form Disambiguated ID Type / Status
Subject Laplacian spectrum E394466 entity
Predicate relatedTo P37 FINISHED
Object Neumann Laplacian
The Neumann Laplacian is the Laplace operator on a domain equipped with Neumann (zero normal-derivative) boundary conditions, commonly used to study diffusion, vibrations, and spectral properties where flux across the boundary is constrained.
E1203158 NE FINISHED

How this triple was built (4 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: Neumann Laplacian | Statement: [Laplacian spectrum, relatedTo, Neumann Laplacian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neumann Laplacian
Context triple: [Laplacian spectrum, relatedTo, Neumann Laplacian]
  • A. 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.
  • B. Laplace operator
    The Laplace operator is a second-order differential operator widely used in mathematics and physics to describe phenomena such as diffusion, heat flow, and wave propagation.
  • C. Steklov eigenvalue problem
    The Steklov eigenvalue problem is a type of spectral boundary value problem in which eigenvalues appear in the boundary conditions of a partial differential equation, playing a key role in mathematical physics and geometric analysis.
  • D. Steklov operator
    The Steklov operator is a boundary integral operator arising in the study of elliptic partial differential equations and spectral problems, particularly in the context of Steklov eigenvalue problems.
  • E. Laplacian spectrum
    The Laplacian spectrum is the collection of eigenvalues of the Laplace operator on a domain or manifold, encoding how functions vibrate or diffuse over it and serving as a key tool in spectral geometry and mathematical physics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neumann Laplacian
Triple: [Laplacian spectrum, relatedTo, Neumann Laplacian]
Generated description
The Neumann Laplacian is the Laplace operator on a domain equipped with Neumann (zero normal-derivative) boundary conditions, commonly used to study diffusion, vibrations, and spectral properties where flux across the boundary is constrained.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neumann Laplacian
Target entity description: The Neumann Laplacian is the Laplace operator on a domain equipped with Neumann (zero normal-derivative) boundary conditions, commonly used to study diffusion, vibrations, and spectral properties where flux across the boundary is constrained.
  • A. 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.
  • B. Laplace operator
    The Laplace operator is a second-order differential operator widely used in mathematics and physics to describe phenomena such as diffusion, heat flow, and wave propagation.
  • C. Steklov eigenvalue problem
    The Steklov eigenvalue problem is a type of spectral boundary value problem in which eigenvalues appear in the boundary conditions of a partial differential equation, playing a key role in mathematical physics and geometric analysis.
  • D. Steklov operator
    The Steklov operator is a boundary integral operator arising in the study of elliptic partial differential equations and spectral problems, particularly in the context of Steklov eigenvalue problems.
  • E. Laplacian spectrum
    The Laplacian spectrum is the collection of eigenvalues of the Laplace operator on a domain or manifold, encoding how functions vibrate or diffuse over it and serving as a key tool in spectral geometry and mathematical physics.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24594f23c8190bd59fcb2585cb5e3 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001884e88881908713eef769f075d2 completed May 10, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00191cabf48190872fdeb88b92aefc completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:04 a.m.