Triple
T19703619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VisualEditor |
E473154
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | French 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: French Wikipedia | Statement: [VisualEditor, usedBy, French Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Wikipedia Context triple: [VisualEditor, usedBy, French Wikipedia]
-
A.
French Wikipedia
chosen
French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
-
B.
French Wikisource
French Wikisource is the French-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
-
C.
French Wikiversity
French Wikiversity is the French-language edition of Wikiversity, a Wikimedia project dedicated to free educational resources and collaborative learning.
-
D.
French Wiktionary
French Wiktionary is the French-language edition of the collaborative, multilingual online dictionary project hosted by the Wikimedia Foundation.
-
E.
French Wikibooks
French Wikibooks is the French-language edition of Wikibooks, a Wikimedia project that hosts collaboratively written open-content textbooks and instructional materials.
- 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.