Triple

T8850697
Position Surface form Disambiguated ID Type / Status
Subject Du Fu E210629 entity
Predicate placeOfBirth P1 FINISHED
Object Gongyi
Gongyi is a county-level city in Henan Province, China, historically notable as the birthplace of the Tang dynasty poet Du Fu.
 E761299 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: Gongyi | Statement: [Du Fu, placeOfBirth, Gongyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gongyi
Context triple: [Du Fu, placeOfBirth, Gongyi]
  • A. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • B. 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.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • E. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • 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: Gongyi
Triple: [Du Fu, placeOfBirth, Gongyi]
Generated description
Gongyi is a county-level city in Henan Province, China, historically notable as the birthplace of the Tang dynasty poet Du Fu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gongyi
Target entity description: Gongyi is a county-level city in Henan Province, China, historically notable as the birthplace of the Tang dynasty poet Du Fu.
  • A. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of China.
  • B. 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.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • E. Gaoyang
    Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c2300c819097b1ca6ebe2f749a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89cb853c8190a7664f2e7de0de87 completed April 3, 2026, 9:35 a.m.
NEDg Description generation batch_69cf8ab7da348190b423f0768fe9dc1a completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bd252a4819098891bbb67baf897 completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:49 p.m.