Triple
T13015652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangzhounese |
E322543
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Suzhounese |
E402908
|
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: Suzhounese | Statement: [Hangzhounese, closelyRelatedTo, Suzhounese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzhounese Context triple: [Hangzhounese, closelyRelatedTo, Suzhounese]
-
A.
Suzhounese
chosen
Suzhounese is a prominent variety of the Wu group of Chinese languages, traditionally spoken in Suzhou and noted for its rich phonology and cultural prestige.
-
B.
Hangzhounese
Hangzhounese is a major regional variety of the Wu branch of Chinese spoken primarily in and around the city of Hangzhou in eastern China.
-
C.
Teochew
Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
-
D.
Wenzhounese
Wenzhounese is a highly distinctive and notoriously difficult-to-understand variety of Wu Chinese spoken in and around Wenzhou in southeastern Zhejiang province.
-
E.
Shanghainese
Shanghainese is a Wu Chinese dialect spoken primarily in Shanghai and its surrounding region, known for its distinct phonology and limited mutual intelligibility with Mandarin.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c1147974819090007c21383d5c86 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:50 p.m.