Triple

T13510716
Position Surface form Disambiguated ID Type / Status
Subject Wenzhounese E321130 entity
Predicate contrastWith P278 FINISHED
Object Shanghainese E155949 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: Shanghainese | Statement: [Wenzhounese, contrastWith, Shanghainese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shanghainese
Context triple: [Wenzhounese, contrastWith, Shanghainese]
  • A. Shanghainese chosen
    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.
  • B. 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.
  • C. 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.
  • D. Jiangnan Mandarin
    Jiangnan Mandarin is a major dialect group of Mandarin Chinese historically spoken in the lower Yangtze region, known for its transitional features between northern Mandarin and Wu dialects.
  • 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_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.