Triple
T1745767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikisource |
E38331
|
entity |
| Predicate | sisterProject |
P19167
|
FINISHED |
| Object | Wikiquote |
E37905
|
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: Wikiquote | Statement: [Wikisource, sisterProject, Wikiquote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikiquote Context triple: [Wikisource, sisterProject, Wikiquote]
-
A.
Wikiquote
chosen
Wikiquote is a free, collaboratively edited online compendium of sourced quotations from notable people, books, films, and other creative works.
-
B.
English Wikiquote
English Wikiquote is the English-language edition of Wikiquote, a free online compendium of sourced quotations from notable people, works, and themes.
-
C.
Chinese Wikiquote
Chinese Wikiquote is the Chinese-language edition of Wikiquote, a free online compendium of sourced quotations from notable people, works, and themes.
-
D.
French Wikiquote
French Wikiquote is the French-language edition of Wikiquote, a collaborative online collection of sourced quotations from notable people, works, and themes.
-
E.
Wikisource
Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffd9b68819084f6c4d5e1aace1e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c28ac881909ba2a7e5c2067127 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.