Triple
T8300934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Wikiquote |
E194346
|
entity |
| Predicate | hasSisterProject |
P14971
|
FINISHED |
| Object | Chinese Wikinews |
E194355
|
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: Chinese Wikinews | Statement: [Chinese Wikiquote, hasSisterProject, Chinese Wikinews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinese Wikinews Context triple: [Chinese Wikiquote, hasSisterProject, Chinese Wikinews]
-
A.
Chinese Wikinews
chosen
Chinese Wikinews is the Chinese-language edition of the Wikinews project, offering collaboratively written, free-content news articles.
-
B.
CN
CN is the commonly used abbreviation for Monaco’s National Council, the unicameral legislative body of the Principality.
-
C.
CN
CN is the vehicle registration code used for County Cavan in Ireland.
-
D.
CN
CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
-
E.
CN
CN is the vehicle registration code used on license plates for the Province of Cuneo in Italy.
- 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.