Triple
T20627208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minkowski’s theorem on convex sets |
E506850
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | result in the geometry of numbers |
C10469
|
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 the geometry of numbers Context triple: [Minkowski’s theorem on convex sets, instanceOf, result in the geometry of numbers]
-
A.
result in arithmetic geometry
A result in arithmetic geometry is a theorem or proposition that connects number-theoretic properties of solutions to polynomial equations with the geometric structure of the varieties they define over arithmetic fields.
-
B.
result in additive number theory
A result in additive number theory is a theorem or proposition that describes how integers can be expressed as sums of other integers, often revealing structural or combinatorial properties of sets under addition.
-
C.
result in geometry
chosen
A result in geometry is a proven statement or theorem that describes a specific property, relationship, or behavior of geometric figures and spaces.
-
D.
work on geometry
Work on geometry encompasses the systematic study, exploration, and application of geometric concepts, relationships, and structures to understand and solve spatial problems.
-
E.
result in lattice theory
A result in lattice theory is a proven theorem or proposition that describes structural, order-theoretic, or algebraic properties of lattices and their related constructs.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
Created at: April 16, 2026, 11:42 a.m.