Triple

T8789956
Position Surface form Disambiguated ID Type / Status
Subject Panyu District E209137 entity
Predicate hasChineseName P4878 FINISHED
Object 番禺区 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: 番禺区 | Statement: [Panyu District, hasChineseName, 番禺区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 番禺区
Context triple: [Panyu District, hasChineseName, 番禺区]
  • A. 荔湾区
    荔湾区 is a historic urban district of Guangzhou, China, known for its traditional Lingnan architecture, cultural heritage sites, and vibrant commercial streets.
  • B. Zengcheng District
    Zengcheng District is an eastern suburban district of Guangzhou, China, known for its rapid urban development and lychee production.
  • C. 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.
  • D. Baiyun District
    Baiyun District is a major urban district of Guangzhou, China, known for hosting the city’s primary international airport and serving as a key transportation and industrial hub.
  • E. 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.
  • 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_69cf5210454c8190aa83d941893a4bc5 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.