Triple
T8391009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Wikiquote |
E197941
|
entity |
| Predicate | isSisterProjectOf |
P81956
|
FINISHED |
| Object | English Wikisource |
E38331
|
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: English Wikisource | Statement: [English Wikiquote, isSisterProjectOf, English Wikisource]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: English Wikisource Context triple: [English Wikiquote, isSisterProjectOf, English Wikisource]
-
A.
Wikisource
chosen
Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
-
B.
Esperanto Wikisource
Esperanto Wikisource is the Esperanto-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
-
C.
Japanese Wikisource
Japanese Wikisource is the Japanese-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
-
D.
English Wikiquote
English Wikiquote is the English-language edition of Wikiquote, a free online compendium of sourced quotations from notable people, works, and themes.
-
E.
Polish Wikisource
Polish Wikisource is the Polish-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 (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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cbd120a1ec8190a8dc101fa1371780 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde84d6f3c8190ba12905ba5900087 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:03 p.m.