Triple
T13510698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wenzhounese |
E321130
|
entity |
| Predicate | altName |
P39
|
FINISHED |
| Object | Wenzhouhua |
E197338
|
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: Wenzhouhua | Statement: [Wenzhounese, altName, Wenzhouhua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenzhouhua Context triple: [Wenzhounese, altName, Wenzhouhua]
-
A.
Hangzhouhua
Hangzhouhua is a regional Chinese dialect spoken in and around the city of Hangzhou in Zhejiang province.
-
B.
Wenzheng
Wenzheng is the posthumous honorific title granted to the influential Qing dynasty statesman and military leader Zeng Guofan, reflecting his perceived moral integrity and contributions.
-
C.
Dōngguǎn
Dōngguǎn is a major industrial and manufacturing city in Guangdong Province, China, known for its extensive export-oriented factories and role in the Pearl River Delta economic region.
-
D.
Ningbohua
Ningbohua is a Chinese Wu dialect spoken primarily in and around the city of Ningbo in Zhejiang province.
-
E.
Wenzhou
chosen
Wenzhou is a major coastal city in southeastern Zhejiang Province, China, known for its entrepreneurial culture, export-driven economy, and large overseas Chinese community.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.