Triple
T22444179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globalize |
E554824
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | localization library |
C10736
|
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 library Context triple: [Globalize, instanceOf, localization library]
-
A.
localization framework
chosen
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.
-
B.
internationalization framework
An internationalization framework is a software infrastructure that enables applications to support multiple languages, regional formats, and cultural conventions through localization-ready components and resource management.
-
C.
Unicode library
A Unicode library is a software component that provides tools and APIs for encoding, decoding, manipulating, and querying Unicode text and character properties across different languages and scripts.
-
D.
universal library
A universal library is an imagined or theoretical repository that contains all possible knowledge, information, or works ever created or that could be created, accessible in a single comprehensive system.
-
E.
localization-like construction
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.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:47 p.m.