Triple
T8611673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scratch localization framework |
E203926
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | software localization framework |
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: software localization framework Context triple: [Scratch localization framework, instanceOf, software localization framework]
-
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.
mobile software framework
A mobile software framework is a reusable set of libraries, tools, and APIs that provides a structured foundation for building, deploying, and maintaining applications on mobile operating systems.
-
D.
cross-platform development framework
A cross-platform development framework is a software toolkit that enables developers to build applications that run on multiple operating systems or devices from a single shared codebase.
-
E.
cross-platform UI framework
A cross-platform UI framework is a software toolkit that enables developers to build user interfaces once and deploy them across multiple operating systems and devices with minimal platform-specific changes.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:25 p.m.