Triple
T5884235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yue Chinese |
E130821
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object | Yongxun Yue |
E554519
|
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: Yongxun Yue | Statement: [Yue Chinese, hasVariety, Yongxun Yue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yongxun Yue Context triple: [Yue Chinese, hasVariety, Yongxun Yue]
-
A.
Xiong Yi
Xiong Yi was the legendary early ruler credited with establishing the ancient Chinese state of Chu during the Zhou dynasty.
-
B.
Gao-Yang Yue
chosen
Gao-Yang Yue is a regional variety of Yue Chinese spoken primarily in parts of Guangdong province in southern China.
-
C.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
D.
Yao Yecheng
Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
-
E.
Yu Xuezhong
Yu Xuezhong was a prominent Chinese military leader associated with the Northeastern Army during the Republican era.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367743508190bae211e9ce8f9690 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bff29200819080c7d9269ad80c53 |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:57 p.m.