Triple

T14084793
Position Surface form Disambiguated ID Type / Status
Subject Governor-General of Liangguang E338962 entity
Predicate officeHeldBy P537 FINISHED
Object Yiliang
Yiliang was a historical Chinese official who served as a high-ranking provincial governor-general in the Liangguang region (modern Guangdong and Guangxi).
E1086844 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: Yiliang | Statement: [Governor-General of Liangguang, officeHeldBy, Yiliang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yiliang
Context triple: [Governor-General of Liangguang, officeHeldBy, Yiliang]
  • A. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • B. Xiliang
    Xiliang was a late Qing dynasty official who served as a prominent provincial governor-general and played a key role in the empire’s final reform and defense efforts.
  • C. 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.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Yansong
    Yansong is the given name of Ma Yansong, a prominent Chinese architect known for his futuristic and organic building designs.
  • 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: Yiliang
Triple: [Governor-General of Liangguang, officeHeldBy, Yiliang]
Generated description
Yiliang was a historical Chinese official who served as a high-ranking provincial governor-general in the Liangguang region (modern Guangdong and Guangxi).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yiliang
Target entity description: Yiliang was a historical Chinese official who served as a high-ranking provincial governor-general in the Liangguang region (modern Guangdong and Guangxi).
  • A. Daliang
    Daliang was the principal city and political center of the ancient Chinese State of Wei during the Warring States period.
  • B. Xiliang
    Xiliang was a late Qing dynasty official who served as a prominent provincial governor-general and played a key role in the empire’s final reform and defense efforts.
  • C. 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.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Yansong
    Yansong is the given name of Ma Yansong, a prominent Chinese architect known for his futuristic and organic building designs.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd27ff5b7081908ab27d5851b274ea completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2a2ea1a88190a7415ca7e7522610 completed May 8, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69fd2a7e4be48190aa02c75b8dbe655b completed May 8, 2026, 12:12 a.m.
Created at: April 9, 2026, 10:21 p.m.