Triple

T23519719
Position Surface form Disambiguated ID Type / Status
Subject Zhengzhou dialect E574468 entity
Predicate hasAlternativeName P39 FINISHED
Object Zhengzhouhua NE NERFINISHED

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: Zhengzhouhua | Statement: [Zhengzhou dialect, hasAlternativeName, Zhengzhouhua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhengzhouhua
Context triple: [Zhengzhou dialect, hasAlternativeName, Zhengzhouhua]
  • A. Zhongyuan Pianzheng
    Zhongyuan Pianzheng is the Chinese name for the Central Plains War, a major 1930 civil conflict among Chinese warlords and the Nationalist government during the Republic of China era.
  • B. Hangzhouhua
    Hangzhouhua is a regional Chinese dialect spoken in and around the city of Hangzhou in Zhejiang province.
  • C. Xinzheng
    Xinzheng is a county-level city in central China's Henan Province, known as part of the Zhengzhou metropolitan area and as the site of Zhengzhou Xinzheng International Airport.
  • D. Zhengzhou chosen
    Zhengzhou is a major city in central China that serves as the capital of Henan Province and an important national transportation and industrial hub.
  • E. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa84fe7c8190aa1078a118af7d61 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.