Triple

T7968430
Position Surface form Disambiguated ID Type / Status
Subject Nanning E185263 entity
Predicate pinyinName P9333 FINISHED
Object Nánníng
Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
E715496 NE FINISHED

How this triple was built (4 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: Nánníng | Statement: [Nanning, pinyinName, Nánníng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nánníng
Context triple: [Nanning, pinyinName, Nánníng]
  • A. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • B. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • C. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • D. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • E. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nánníng
Triple: [Nanning, pinyinName, Nánníng]
Generated description
Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nánníng
Target entity description: Nánníng is the capital and largest city of China’s Guangxi Zhuang Autonomous Region, known as a major economic hub and “Green City” for its abundant subtropical vegetation.
  • A. Yuncheng
    Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
  • B. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • C. Putian
    Putian is a coastal prefecture-level city in southeastern China known for its manufacturing industries, especially footwear, and its historical and cultural heritage within Fujian province.
  • D. Jianyang
    Jianyang is a county-level city in northern Fujian Province, China, known for its historical role in tea production and its location along the Min River.
  • E. Licheng
    Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
  • F. None of above. chosen

Provenance (5 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe086fc08190b41a2eb2193f6675 completed April 1, 2026, 6:41 a.m.
NEDg Description generation batch_69ccc30f1fc48190991e0caa9ea6e735 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd7eca618819081e0c5452c8b1960 completed April 1, 2026, 8:31 a.m.
Created at: March 30, 2026, 5:13 p.m.