Triple

T10001555
Position Surface form Disambiguated ID Type / Status
Subject Wenzhou E197338 entity
Predicate dialectOf P1762 FINISHED
Object Wu Chinese E82322 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: Wu Chinese | Statement: [Wenzhou, dialectOf, Wu Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Chinese
Context triple: [Wenzhou, dialectOf, Wu Chinese]
  • A. Wu Chinese chosen
    Wu Chinese is a major Sinitic language group spoken primarily in Shanghai, southern Jiangsu, and Zhejiang, known for its rich tonal system and significant phonological differences from Mandarin.
  • B. Yue Chinese
    Yue Chinese is a major branch of the Chinese language family, best known internationally through its prominent variety Cantonese spoken in southern China and among overseas Chinese communities.
  • C. Zhong Wen
    Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Jin Chinese
    Jin Chinese is a major Sinitic language variety spoken primarily in Shanxi and surrounding regions of northern China, often considered distinct from standard Mandarin due to its unique phonological and lexical features.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc9078788190a4e75dd7ff830c63 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d25854c524819081315b1a8faf335e completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.