Triple
T1735167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wikibooks |
E37904
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | 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: Wikisource | Statement: [Wikibooks, hasSisterProject, Wikisource]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wikisource Context triple: [Wikibooks, hasSisterProject, 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.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
-
C.
Wikipedia
Wikipedia is a free, collaboratively edited online encyclopedia that allows users worldwide to create and modify its articles.
-
D.
Project Gutenberg
Project Gutenberg is a pioneering digital library that offers free access to thousands of public-domain ebooks in multiple formats.
-
E.
Encyclopédie
The Encyclopédie was an influential 18th-century French reference work edited by Denis Diderot and Jean le Rond d’Alembert that sought to compile and disseminate Enlightenment knowledge, science, and philosophy.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a2168c819093d302632ff4b7c2 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada983dd8081908fdef7d343025a4f |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:30 p.m.