Triple
T3955290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu dialects |
E84960
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Wuzhou Wu
Wuzhou Wu is a regional variety of the Wu group of Chinese dialects spoken in and around Wuzhou.
|
E402910
|
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: Wuzhou Wu | Statement: [Wu dialects, hasSubgroup, Wuzhou Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuzhou Wu Context triple: [Wu dialects, hasSubgroup, Wuzhou Wu]
-
A.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Wu’an
Wu’an is a county-level city administered by Handan in Hebei Province, northern China, known for its industrial development and coal resources.
-
D.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
E.
Lüshun
Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
- 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: Wuzhou Wu Triple: [Wu dialects, hasSubgroup, Wuzhou Wu]
Generated description
Wuzhou Wu is a regional variety of the Wu group of Chinese dialects spoken in and around Wuzhou.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuzhou Wu Target entity description: Wuzhou Wu is a regional variety of the Wu group of Chinese dialects spoken in and around Wuzhou.
-
A.
Xinyu
Xinyu is a prefecture-level industrial city located in central Jiangxi Province in southeastern China.
-
B.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
C.
Wu’an
Wu’an is a county-level city administered by Handan in Hebei Province, northern China, known for its industrial development and coal resources.
-
D.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
E.
Lüshun
Lüshun is a strategically important port city in northeastern China, historically known as Port Arthur and noted for its role in several major conflicts.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93d742c81908639c843193d78fd |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533aea08c8190b83d83e3ba89848c |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b537f7e2e481909b7a337c130bca7a |
completed | March 14, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b538a7f8e4819087a74e96255e7c45 |
completed | March 14, 2026, 10:30 a.m. |
Created at: March 9, 2026, 3:30 p.m.