Triple

T8789993
Position Surface form Disambiguated ID Type / Status
Subject Panyu District E209137 entity
Predicate wasFormerly P65 FINISHED
Object Panyu County E209137 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: Panyu County | Statement: [Panyu District, wasFormerly, Panyu County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panyu County
Context triple: [Panyu District, wasFormerly, Panyu County]
  • 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. Panyu District chosen
    Panyu District is a major urban district in the southern part of Guangzhou, China, known for its rapid development, transportation hubs, and mix of industrial, residential, and commercial areas.
  • C. Xiangzhou District
    Xiangzhou District is the central urban district of Zhuhai in Guangdong Province, China, known for its government, commercial, and coastal areas facing Macau.
  • D. Gaoming District
    Gaoming District is an administrative district of the city of Foshan in Guangdong Province, China, known for its mix of urban development and manufacturing-based economy.
  • E. Pingshan District
    Pingshan District is an administrative district in the eastern part of Shenzhen, China, known for its emerging high-tech industries and rapid urban development.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8d25f881908863d636fa57a8a2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69d04729c39c8190a88a28288653399b completed April 3, 2026, 11:03 p.m.
Created at: March 30, 2026, 6:43 p.m.