Triple
T33320523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | finite Blaschke product |
E853121
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Blaschke product |
C24991
|
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: Blaschke product Context triple: [finite Blaschke product, instanceOf, Blaschke product]
-
A.
Canonical product
A canonical product is an infinite product representation of an entire function constructed from its zeros in a standardized form that ensures convergence and uniquely reflects the function’s zero set.
-
B.
analytic function
chosen
An analytic function is a complex-valued function that is locally given by a convergent power series, meaning it is differentiable at every point in its domain and in a neighborhood around each point.
-
C.
operation on analytic functions
An operation on analytic functions is a rule or transformation that takes one or more analytic (holomorphic) functions as input and produces another function, typically preserving analyticity within a given domain.
-
D.
bounded symmetric domain (up to biholomorphism)
A bounded symmetric domain (up to biholomorphism) is a connected bounded open subset of complex Euclidean space whose biholomorphic automorphism group acts transitively and admits, at each point, an involutive automorphism reversing all geodesics through that point, considered up to biholomorphic equivalence.
-
E.
formal analytic product
A formal analytic product is a rigorously defined, systematically structured offering—such as a model, framework, or methodology—designed to analyze, interpret, or solve problems within a specific domain using formal logic and analytic techniques.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:33 a.m.