Triple
T28505850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubuntu Kylin |
E721361
|
entity |
| Predicate | regionSpecificCustomization |
P5596
|
FINISHED |
| Object | Chinese online services integration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chinese online services integration | Statement: [Ubuntu Kylin, regionSpecificCustomization, Chinese online services integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionSpecificCustomization Context triple: [Ubuntu Kylin, regionSpecificCustomization, Chinese online services integration]
-
A.
regionSpecificContent
chosen
Indicates that certain content is tailored, restricted, or applicable only to a particular geographic region or set of regions.
-
B.
regionSpecialization
Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
-
C.
regionSetting
Indicates that an entity is configured to operate within, or is associated with, a specific geographic or logical region.
-
D.
realmSpecific
Indicates that something is restricted to, defined within, or only applicable in a particular domain, context, or realm.
-
E.
specializationRegion
Indicates that something is specialized, adapted, or specifically applicable to a particular geographic or spatial region.
- F. None of above.
Provenance (3 batches)
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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 28, 2026, 3:09 a.m.