Triple

T18014684
Position Surface form Disambiguated ID Type / Status
Subject Later Yan E430970 entity
Predicate capital P234 FINISHED
Object Zhongshan
Zhongshan is an ancient Chinese city historically notable as the capital of the Later Yan state during the Sixteen Kingdoms period.
E1304800 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: Zhongshan | Statement: [Later Yan, capital, Zhongshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan
Context triple: [Later Yan, capital, Zhongshan]
  • A. 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.
  • B. Dongguan
    Dongguan is a major manufacturing and industrial city in Guangdong Province, China, known for its role in the Pearl River Delta economic region.
  • C. 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.
  • D. Foshan
    Foshan is a major industrial and cultural city in southern China known for its manufacturing, Cantonese opera, and martial arts heritage.
  • E. Heyuan
    Heyuan is a prefecture-level city in northeastern Guangdong Province, China, known for its Hakka culture, abundant natural scenery, and large reservoir and river systems.
  • 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: Zhongshan
Triple: [Later Yan, capital, Zhongshan]
Generated description
Zhongshan is an ancient Chinese city historically notable as the capital of the Later Yan state during the Sixteen Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhongshan
Target entity description: Zhongshan is an ancient Chinese city historically notable as the capital of the Later Yan state during the Sixteen Kingdoms period.
  • A. 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.
  • B. Dongguan
    Dongguan is a major manufacturing and industrial city in Guangdong Province, China, known for its role in the Pearl River Delta economic region.
  • C. 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.
  • D. Foshan
    Foshan is a major industrial and cultural city in southern China known for its manufacturing, Cantonese opera, and martial arts heritage.
  • E. Heyuan
    Heyuan is a prefecture-level city in northeastern Guangdong Province, China, known for its Hakka culture, abundant natural scenery, and large reservoir and river systems.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b522e84c8190a03f6445df9f5ac8 completed April 19, 2026, 10:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a035d7ec324819099a074f6f5066190 completed May 12, 2026, 5:03 p.m.
NEDg Description generation batch_6a0361aa77808190a9fb298cf1b3b785 completed May 12, 2026, 5:21 p.m.
NED2 Entity disambiguation (via description) batch_6a036203e7e8819094e6bbb40b79e533 completed May 12, 2026, 5:23 p.m.
Created at: April 10, 2026, 10:24 a.m.