Triple
T4832126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MediaWiki |
E107967
|
entity |
| Predicate | supportsContentTranslation |
P11998
|
FINISHED |
| Object | content translation via extensions |
—
|
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: content translation via extensions | Statement: [MediaWiki, supportsContentTranslation, content translation via extensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsContentTranslation Context triple: [MediaWiki, supportsContentTranslation, content translation via extensions]
-
A.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
B.
supportsInternationalization
chosen
Indicates that an entity provides functionality or features that enable use across multiple languages, locales, or regional formats.
-
C.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
D.
supportsLanguageOverrides
Indicates that an entity allows its default behavior or settings to be modified based on specific language selections or preferences.
-
E.
originalLanguageSupport
Indicates that one entity provides or maintains functionality, content, or interaction in the original language of 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.