Triple
T5884233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yue Chinese |
E130821
|
entity |
| Predicate | hasVariety |
P455
|
FINISHED |
| Object |
Gao-Yang Yue
Gao-Yang Yue is a regional variety of Yue Chinese spoken primarily in parts of Guangdong province in southern China.
|
E554519
|
NE FINISHED |
How this triple was built (4 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: Gao-Yang Yue | Statement: [Yue Chinese, hasVariety, Gao-Yang Yue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gao-Yang Yue Context triple: [Yue Chinese, hasVariety, Gao-Yang Yue]
-
A.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
B.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
C.
Yangqing Jia
Yangqing Jia is a computer scientist and software engineer known for his influential work in deep learning and computer vision, including contributions to convolutional neural network architectures and open-source frameworks.
-
D.
Zhu Junyi
Zhu Junyi is a former senior Chinese police and security official best known for his involvement in major corruption scandals.
-
E.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gao-Yang Yue Triple: [Yue Chinese, hasVariety, Gao-Yang Yue]
Generated description
Gao-Yang Yue is a regional variety of Yue Chinese spoken primarily in parts of Guangdong province in southern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gao-Yang Yue Target entity description: Gao-Yang Yue is a regional variety of Yue Chinese spoken primarily in parts of Guangdong province in southern China.
-
A.
Yanluo Wang
Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
-
B.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
C.
Yangqing Jia
Yangqing Jia is a computer scientist and software engineer known for his influential work in deep learning and computer vision, including contributions to convolutional neural network architectures and open-source frameworks.
-
D.
Zhu Junyi
Zhu Junyi is a former senior Chinese police and security official best known for his involvement in major corruption scandals.
-
E.
Gao Yang
Gao Yang, better known as Emperor Wenxuan of Northern Qi, was the founding emperor of the Northern Qi dynasty in 6th-century China.
- F. None of above. chosen
Provenance (5 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_69c0b13839f48190b23f22d5317eb571 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b27438a08190ab6b72c8fd682bf6 |
completed | March 23, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b309a70081908ad3e819879b17e4 |
completed | March 23, 2026, 3:27 a.m. |
Created at: March 22, 2026, 3:57 p.m.