Triple
T30387128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDE Localization |
E772980
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | localization project |
C34958
|
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 project Context triple: [KDE Localization, instanceOf, localization project]
-
A.
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.
-
B.
translation project
chosen
A translation project is a coordinated effort to convert content from one language to another, managing scope, resources, quality, and timelines to produce accurate and culturally appropriate target-language deliverables.
-
C.
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.
-
D.
Unicode project
A Unicode project is an initiative focused on implementing, extending, or utilizing the Unicode standard to support consistent encoding, representation, and processing of text across different languages and platforms.
-
E.
language revitalization project
A language revitalization project is an organized, community-centered effort to document, teach, and promote the use of an endangered or marginalized language to ensure its continued transmission and everyday use.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:01 p.m.