Triple

T18442433
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen metropolitan area E450564 entity
Predicate majorCity P316 FINISHED
Object Dongguan 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: Dongguan | Statement: [Shenzhen metropolitan area, majorCity, Dongguan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongguan
Context triple: [Shenzhen metropolitan area, majorCity, Dongguan]
  • A. Dongguan chosen
    Dongguan is a major manufacturing and industrial city in Guangdong Province, China, known for its role in the Pearl River Delta economic region.
  • B. Zhongshan
    Zhongshan is a prefecture-level city in Guangdong Province, southern China, known for its manufacturing industry and as the birthplace of revolutionary leader Sun Yat-sen.
  • C. Zhongshan
    Zhongshan is an ancient Chinese city historically notable as the capital of the Later Yan state during the Sixteen Kingdoms period.
  • D. Guangzhou
    Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
  • E. Zhuhai
    Zhuhai is a coastal city in Guangdong Province, China, known for its proximity to Macau, its role in the Pearl River Delta economic zone, and its reputation as a popular tourist destination.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c11b1288190b9ed4497751197d1 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.