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.