Triple
T34472103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel localization theory |
E884934
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | localization theory |
C41933
|
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: localization theory Context triple: [Gabriel localization theory, instanceOf, localization theory]
-
A.
localization-like construction
chosen
A localization-like construction is a process in abstract algebra or category theory that systematically inverts a chosen class of morphisms or elements to form a new object or category where those morphisms become isomorphisms.
-
B.
wave localization phenomenon
The wave localization phenomenon is the confinement of waves (such as light, sound, or quantum particles) to a limited region of space due to interference from disorder or structural irregularities, preventing their normal propagation.
-
C.
nonlocal theory
A nonlocal theory is a conceptual framework in which interactions or correlations between entities are not confined to adjacent points in space-time, allowing influences to occur instantaneously or over finite distances without a mediating local process.
-
D.
localization framework
A localization framework is a structured system of tools, libraries, and processes that enables software to be adapted efficiently to different languages, regions, and cultural conventions without changing its core code.
-
E.
class field theory
Class field theory is a branch of algebraic number theory that describes abelian extensions of number fields (or local fields) in terms of the arithmetic of the fields themselves, particularly their ideals and ideles.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:01 a.m.