Triple
T8301173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Wikinews |
E194351
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | Polish Wikipedia |
E724584
|
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: Polish Wikipedia | Statement: [Polish Wikinews, hasSisterProject, Polish Wikipedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polish Wikipedia Context triple: [Polish Wikinews, hasSisterProject, Polish Wikipedia]
-
A.
Polish Wikipedia
chosen
Polish Wikipedia is the Polish-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
B.
Polish Wikisource
Polish Wikisource is the Polish-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
-
C.
Polish Wikiversity
Polish Wikiversity is the Polish-language edition of Wikiversity, a Wikimedia Foundation project that hosts free educational resources and supports collaborative learning and teaching.
-
D.
Polish Wiktionary
Polish Wiktionary is the Polish-language edition of the collaborative, multilingual online dictionary project hosted by the Wikimedia Foundation.
-
E.
Polish Wikibooks
Polish Wikibooks is the Polish-language edition of the Wikibooks project, offering a collection of free, collaboratively written open-content textbooks and manuals.
- 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_69cd953b5fd881909696eb2647dc5f92 |
completed | April 1, 2026, 9:59 p.m. |
Created at: March 30, 2026, 5:53 p.m.