Triple

T18181963
Position Surface form Disambiguated ID Type / Status
Subject Qinzhou E435308 entity
Predicate capitalOf P204 FINISHED
Object Qinzhou City 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: Qinzhou City | Statement: [Qinzhou, capitalOf, Qinzhou City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qinzhou City
Context triple: [Qinzhou, capitalOf, Qinzhou City]
  • A. Qinzhou chosen
    Qinzhou is a coastal prefecture-level city in southern China known for its port, maritime industries, and location along the Gulf of Tonkin in the Guangxi Zhuang Autonomous Region.
  • B. Liuzhou
    Liuzhou is a major industrial city in the Guangxi Zhuang Autonomous Region of southern China, known for its heavy industry, transportation hub status, and distinctive karst landscape.
  • C. Guiping City
    Guiping City is a county-level city under the administration of Guigang in the Guangxi Zhuang Autonomous Region of southern China, known for its riverine landscapes and regional commerce.
  • D. Maoming
    Maoming is a coastal city in southwestern Guangdong, China, known for its petrochemical industry and agricultural production, especially lychees and longans.
  • E. Wuzhou
    Wuzhou is a prefecture-level city in eastern Guangxi, China, known as a regional transport hub and commercial center along the Xi River.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffb3bc88190a627be9c444d5c7d completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.