Triple
T29407669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fedora Localization teams |
E745812
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | localization team |
C18385
|
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 team Context triple: [Fedora Localization teams, instanceOf, localization team]
-
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
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.
team
chosen
A team is a group of individuals who collaborate toward a shared goal, combining their skills, roles, and efforts to achieve outcomes they could not accomplish alone.
-
D.
translation and interpreting department
A translation and interpreting department is an academic or organizational unit dedicated to training professionals and conducting work in translating written texts and interpreting spoken language across different languages and cultures.
-
E.
video game localization
Video game localization is the process of adapting a game’s language, cultural references, audio, visuals, and user experience for different regions and audiences while preserving its original intent and playability.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 2:55 p.m.