Triple
T19703622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisualEditor |
E473154
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Japanese Wikipedia |
—
|
NE NERFINISHED |
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: Japanese Wikipedia | Statement: [VisualEditor, usedBy, Japanese Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japanese Wikipedia Context triple: [VisualEditor, usedBy, Japanese Wikipedia]
-
A.
Japanese Wikipedia
chosen
Japanese Wikipedia is the Japanese-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
B.
Japanese Wikiversity
Japanese Wikiversity is the Japanese-language edition of Wikiversity, a Wikimedia project that provides free educational resources and supports collaborative learning and teaching.
-
C.
Japanese Wikinews
Japanese Wikinews is the Japanese-language edition of the Wikinews project, a collaboratively written, free-content news source.
-
D.
Japanese Wikibooks
Japanese Wikibooks is the Japanese-language edition of Wikibooks, a Wikimedia Foundation project that hosts collaboratively written open-content textbooks and instructional materials.
-
E.
Japanese Wikisource
Japanese Wikisource is the Japanese-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b8707081908fbf96c989d2d52d |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.