Triple
T33419131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busemann–Feller theorem |
E855798
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in geometric measure theory |
C15240
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: result in geometric measure theory Context triple: [Busemann–Feller theorem, instanceOf, result in geometric measure theory]
-
A.
tool in geometric analysis
A tool in geometric analysis is a mathematical method, concept, or construction used to study and characterize the geometric and analytic properties of spaces, shapes, and mappings.
-
B.
research program in geometry
A research program in geometry is a coordinated, long-term investigation that develops and applies geometric concepts, methods, and conjectures to systematically explore and solve interconnected mathematical problems.
-
C.
geometric structure
A geometric structure is an abstract mathematical entity defined by sets of points and the relationships between them (such as distances, angles, or incidences) that determine its shape and spatial properties.
-
D.
geometric invariant
A geometric invariant is a property of a geometric object that remains unchanged under a specified group of transformations, such as rotations, translations, or more general symmetries.
-
E.
result in convex analysis
chosen
In convex analysis, a result is a formally stated and proven fact—such as a theorem, lemma, or proposition—that characterizes properties or relationships of convex sets, convex functions, or related optimization structures.
- F. None of above.
Provenance (1 batch)
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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:36 a.m.