Triple
T8300741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Wikiquote |
E194342
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | Japanese Wikinews |
E194354
|
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: Japanese Wikinews | Statement: [Japanese Wikiquote, hasSisterProject, Japanese Wikinews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japanese Wikinews Context triple: [Japanese Wikiquote, hasSisterProject, Japanese Wikinews]
-
A.
Japanese Wikinews
chosen
Japanese Wikinews is the Japanese-language edition of the Wikinews project, a collaboratively written, free-content news source.
-
B.
NHK News 7
NHK News 7 is a flagship evening television news program in Japan that provides national and international news coverage on NHK.
-
C.
Korean Wikinews
Korean Wikinews is the Korean-language edition of the Wikinews project, offering collaboratively written, free-content news articles in Korean.
-
D.
Nippon News Network
Nippon News Network is a Japanese commercial television news network that provides national news programming to its affiliated stations across Japan.
-
E.
Yomiuri Shimbun
Yomiuri Shimbun is one of Japan’s largest and most influential daily newspapers, known for its wide circulation and conservative editorial stance.
- 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_69cb7e879c588190a6f95cf7795541ad |
completed | March 31, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68bcb43081909e3a8a00947d03f2 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.