Triple

T17020200
Position Surface form Disambiguated ID Type / Status
Subject Sobolev spaces E412927 entity
Predicate generalizationOf P2372 FINISHED
Object Hölder spaces (in some contexts)
Hölder spaces are function spaces characterized by a specific degree of uniform smoothness measured via Hölder continuity, commonly used in analysis and partial differential equations.
E1247125 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: Hölder spaces (in some contexts) | Statement: [Sobolev spaces, generalizationOf, Hölder spaces (in some contexts)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hölder spaces (in some contexts)
Context triple: [Sobolev spaces, generalizationOf, Hölder spaces (in some contexts)]
  • A. Sobolev spaces
    Sobolev spaces are function spaces that incorporate both functions and their weak derivatives, providing a fundamental framework for studying partial differential equations and variational problems.
  • B. Lebesgue spaces
    Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.
  • C. Bourgain spaces
    Bourgain spaces are function spaces introduced by Jean Bourgain that are tailored to study the well-posedness and regularity of nonlinear dispersive partial differential equations.
  • D. Montel space
    A Montel space is a type of locally convex topological vector space in which every closed and bounded set is compact, implying strong convergence and compactness properties useful in functional analysis and distribution theory.
  • E. Whitney extension theorem
    The Whitney extension theorem is a fundamental result in mathematical analysis that characterizes when a function defined on a closed subset of Euclidean space can be extended to a smooth function on the whole space.
  • 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: Hölder spaces (in some contexts)
Triple: [Sobolev spaces, generalizationOf, Hölder spaces (in some contexts)]
Generated description
Hölder spaces are function spaces characterized by a specific degree of uniform smoothness measured via Hölder continuity, commonly used in analysis and partial differential equations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hölder spaces (in some contexts)
Target entity description: Hölder spaces are function spaces characterized by a specific degree of uniform smoothness measured via Hölder continuity, commonly used in analysis and partial differential equations.
  • A. Sobolev spaces
    Sobolev spaces are function spaces that incorporate both functions and their weak derivatives, providing a fundamental framework for studying partial differential equations and variational problems.
  • B. Lebesgue spaces
    Lebesgue spaces are function spaces, denoted \(L^p\), that consist of measurable functions whose absolute values raised to the \(p\)-th power are integrable, forming a fundamental framework in modern analysis and probability theory.
  • C. Bourgain spaces
    Bourgain spaces are function spaces introduced by Jean Bourgain that are tailored to study the well-posedness and regularity of nonlinear dispersive partial differential equations.
  • D. Montel space
    A Montel space is a type of locally convex topological vector space in which every closed and bounded set is compact, implying strong convergence and compactness properties useful in functional analysis and distribution theory.
  • E. Whitney extension theorem
    The Whitney extension theorem is a fundamental result in mathematical analysis that characterizes when a function defined on a closed subset of Euclidean space can be extended to a smooth function on the whole space.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d482c3a0819099e6ea4acb0a08ee completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4f9dfc819085639edb5cda1cca completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cc1afc48190b83e3203407c1d7f completed May 11, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a011d67c82c8190b737406e8952eb2b completed May 11, 2026, 12:05 a.m.
Created at: April 10, 2026, 5:33 a.m.