Triple
T1745765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikisource |
E38331
|
entity |
| Predicate | sisterProject |
P19167
|
FINISHED |
| Object | Wikibooks |
E37904
|
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: Wikibooks | Statement: [Wikisource, sisterProject, Wikibooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikibooks Context triple: [Wikisource, sisterProject, Wikibooks]
-
A.
Wikibooks
chosen
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
-
B.
Wikisource
Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
-
C.
Wikiversity
Wikiversity is a Wikimedia Foundation project that provides a free, collaborative platform for creating and using educational resources and learning materials.
-
D.
Wikipedia
Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
-
E.
Propædia
Propædia is the outline volume of the 15th edition of Encyclopaedia Britannica, designed to present a systematic overview of human knowledge and guide readers through the encyclopedia’s contents.
- 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_69addf39b08881908d798b3eae51dbae |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:31 p.m.