Triple
T27176440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sl(2,C) |
E683055
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | complex vector space |
C3749
|
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: complex vector space Context triple: [sl(2,C), instanceOf, complex vector space]
-
A.
vector space
chosen
A vector space is a set of objects called vectors, equipped with operations of vector addition and scalar multiplication that satisfy specific axioms such as associativity, commutativity, distributivity, and the existence of additive identities and inverses.
-
B.
complex surface
A complex surface is a two-dimensional complex manifold (equivalently, a four-dimensional real manifold) equipped with a holomorphic structure, often studied via its complex-analytic, algebraic, and topological properties.
-
C.
inner product space
An inner product space is a vector space equipped with an inner product, a function that assigns a scalar to each pair of vectors in a way that generalizes the dot product and induces notions of length and angle.
-
D.
subfield of ℂ
A subfield of ℂ is a subset of the complex numbers that contains 0 and 1 and is closed under addition, subtraction, multiplication, and division by nonzero elements, thereby forming a field under the usual operations inherited from ℂ.
-
E.
problem in complex analysis
A problem in complex analysis is a mathematical question or exercise involving functions of a complex variable, typically exploring properties like analyticity, contour integration, singularities, or conformal mappings.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 27, 2026, 9:26 a.m.