Triple
T24983486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locale Data Markup Language |
E625237
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | locale data specification |
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: locale data specification Context triple: [Locale Data Markup Language, instanceOf, locale data specification]
-
A.
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.
-
B.
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.
-
C.
Unicode standard
The Unicode standard is a universal character encoding system that assigns a unique code point to virtually every written symbol, enabling consistent text representation and processing across different platforms, languages, and devices.
-
D.
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.
-
E.
Unicode property
A Unicode property is an attribute assigned to each Unicode code point (such as its category, script, or case behavior) that describes its characteristics and governs how it is processed and interpreted in text operations.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
Created at: April 18, 2026, 6:02 a.m.