Triple
T28505079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xubuntu |
E721345
|
entity |
| Predicate | supportsMultilingual |
P11998
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Xubuntu, supportsMultilingual, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultilingual Context triple: [Xubuntu, supportsMultilingual, true]
-
A.
isMultilingual
Indicates that an entity can understand and/or communicate in multiple languages.
-
B.
supportsInternationalization
chosen
Indicates that an entity provides functionality or features that enable use across multiple languages, locales, or regional formats.
-
C.
secondaryLanguageSupport
Indicates that an entity provides assistance, services, or functionality in an additional (non-primary) language.
-
D.
hasMultilingualPresence
Indicates that an entity maintains an active presence or representation in multiple languages.
-
E.
usesLanguageSupport
Indicates that one entity makes use of language-related assistance, features, or services provided by another entity.
- 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_6a00b03a50a88190bfb95cdcfc6142a2 |
completed | May 10, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_6a00afe55f248190b2cb4c7e62cc3ffc |
completed | May 10, 2026, 4:18 p.m. |
Created at: April 28, 2026, 3:09 a.m.