Triple

T16645539
Position Surface form Disambiguated ID Type / Status
Subject Taihu Wu E404458 entity
Predicate hasMajorDialect P1254 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: [Taihu Wu, hasMajorDialect, Hangzhounese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangzhounese
Context triple: [Taihu Wu, hasMajorDialect, 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. Huzhou dialect
    The Huzhou dialect is a variety of Wu Chinese spoken in and around Huzhou in northern Zhejiang, noted for its tonal system and mutual intelligibility with nearby Taihu Wu dialects such as those of Suzhou and Shanghai.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad4735c81908a3a227bf02ca489 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2f1da48190a1a01dbe25f8f0e9 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.