Triple

T3955255
Position Surface form Disambiguated ID Type / Status
Subject Wu dialects E84960 entity
Predicate hasMajorVariety P455 FINISHED
Object Hangzhounese E322543 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: Hangzhounese | Statement: [Wu dialects, hasMajorVariety, Hangzhounese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangzhounese
Context triple: [Wu dialects, hasMajorVariety, Hangzhounese]
  • A. Hangzhounese chosen
    Hangzhounese is a major regional variety of the Wu branch of Chinese spoken primarily in and around the city of Hangzhou in eastern China.
  • B. Wenzhounese
    Wenzhounese is a highly distinctive and notoriously difficult-to-understand variety of Wu Chinese spoken in and around Wenzhou in southeastern Zhejiang province.
  • C. Suzhounese
    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.
  • D. 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.
  • E. Teochew
    Teochew is a Southern Min Chinese dialect originating from the Chaoshan region of Guangdong, widely spoken in overseas Chinese communities across Southeast Asia.
  • 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_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_69b54c3de4688190b0eeb2604a65803e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:30 p.m.