Triple
T8301091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Wikinews |
E194349
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | French Wikiquote |
E194339
|
NE 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: French Wikiquote | Statement: [French Wikinews, hasSisterProject, French Wikiquote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Wikiquote Context triple: [French Wikinews, hasSisterProject, French Wikiquote]
-
A.
French Wikiquote
chosen
French Wikiquote is the French-language edition of Wikiquote, a collaborative online collection of sourced quotations from notable people, works, and themes.
-
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 Wikipedia
French Wikipedia is the French-language edition of the online collaborative encyclopedia Wikipedia, written and maintained by a community of French-speaking volunteers.
-
E.
Wikiquote
Wikiquote is a free, collaboratively edited online compendium of sourced quotations from notable people, books, films, and other creative works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7e891030819097f4a26992a8b469 |
completed | March 31, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68bcb43081909e3a8a00947d03f2 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.