Triple

T18311871
Position Surface form Disambiguated ID Type / Status
Subject Wuzhou E438644 entity
Predicate language P15 FINISHED
Object Pinghua 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: Pinghua | Statement: [Wuzhou, language, Pinghua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinghua
Context triple: [Wuzhou, language, Pinghua]
  • A. Pinghua chosen
    Pinghua is a Sinitic language variety spoken primarily in parts of Guangxi and neighboring regions in southern China, often considered distinct from both Cantonese and Mandarin.
  • B. Pingcheng
    Pingcheng was an important ancient Chinese city that served as the early capital of the Northern Wei dynasty, located near present-day Datong in Shanxi Province.
  • C. Xiping
    Xiping was an era name used during the reign of Emperor Ling in the late Eastern Han dynasty of China.
  • D. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • E. Panchiao
    Panchiao is an older romanization of Banqiao District, a major urban district and transportation hub in New Taipei City, Taiwan.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.