Triple

T9348740
Position Surface form Disambiguated ID Type / Status
Subject Emperor Dezong of Tang E224960 entity
Predicate eraName P2938 FINISHED
Object Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
E793909 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: Xingyuan | Statement: [Emperor Dezong of Tang, eraName, Xingyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xingyuan
Context triple: [Emperor Dezong of Tang, eraName, Xingyuan]
  • A. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • B. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Jianxing
    Jianxing was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
  • E. Jianxing
    Jianxing was the era name used during part of the reign of Liu Shan, the second and last emperor of the Shu Han state in China’s Three Kingdoms period.
  • 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: Xingyuan
Triple: [Emperor Dezong of Tang, eraName, Xingyuan]
Generated description
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xingyuan
Target entity description: Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • A. Shangyuan
    Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
  • B. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Jianxing
    Jianxing was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
  • E. Jianxing
    Jianxing was the era name used during part of the reign of Liu Shan, the second and last emperor of the Shu Han state in China’s Three Kingdoms period.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3ca79e88190ba3a2cfb3bcf7d4f completed April 4, 2026, 11:19 a.m.
NEDg Description generation batch_69d0f4880798819088f029d009bfb7b2 completed April 4, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69d0f50096588190ace88d2c2c097aca completed April 4, 2026, 11:24 a.m.
Created at: March 30, 2026, 7:41 p.m.