Triple

T14735105
Position Surface form Disambiguated ID Type / Status
Subject Zhongshan District E346183 entity
Predicate alternativeName P39 FINISHED
Object Zhongshan Qu E346183 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: Zhongshan Qu | Statement: [Zhongshan District, alternativeName, Zhongshan Qu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan Qu
Context triple: [Zhongshan District, alternativeName, Zhongshan Qu]
  • A. Zhongshan County
    Zhongshan County is a county in Guangdong Province, China, named in honor of Sun Yat-sen (Sun Zhongshan), the founding father of modern China.
  • 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. Sanshui District
    Sanshui District is an administrative district of Foshan City in Guangdong Province, China, known for its manufacturing base and location within the Pearl River Delta economic region.
  • D. Zhongshan District chosen
    Zhongshan District is a central urban district of Taipei, Taiwan, known for its mix of commercial areas, residential neighborhoods, and cultural attractions.
  • E. Zhongshan District
    Zhongshan District is a central urban district of Dalian, China, known for its commercial centers, historic architecture, and coastal scenery.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.