Triple

T7615592
Position Surface form Disambiguated ID Type / Status
Subject Fenghua E172352 entity
Predicate language P15 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: [Fenghua, language, Wu Chinese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Chinese
Context triple: [Fenghua, language, 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4569c88190b2968403a24e7882 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8686d16808190bc431c43c0928f6e completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.