Triple

T8006810
Position Surface form Disambiguated ID Type / Status
Subject Sun Quan E186382 entity
Predicate courtesyName P570 FINISHED
Object Zhongmou
Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
 E720111 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: Zhongmou | Statement: [Sun Quan, courtesyName, Zhongmou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhongmou
Context triple: [Sun Quan, courtesyName, Zhongmou]
  • A. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • B. Yangzhong
    Yangzhong is a county-level city in Jiangsu Province, China, situated on islands in the Yangtze River and administered by the prefecture-level city of Zhenjiang.
  • C. 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.
  • D. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • E. Xiuning
    Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
  • 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: Zhongmou
Triple: [Sun Quan, courtesyName, Zhongmou]
Generated description
Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhongmou
Target entity description: Zhongmou is the courtesy name of Sun Quan, the founding emperor of Eastern Wu during China’s Three Kingdoms period.
  • A. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • B. Yangzhong
    Yangzhong is a county-level city in Jiangsu Province, China, situated on islands in the Yangtze River and administered by the prefecture-level city of Zhenjiang.
  • C. 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.
  • D. Longyan
    Longyan is a prefecture-level city in western Fujian Province, China, known for its Hakka culture, mountainous landscapes, and historic tulou earthen dwellings.
  • E. Xiuning
    Xiuning is a county-level city in Anhui Province, China, known for its traditional Huizhou culture, historic architecture, and scenic mountainous landscapes.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf8a6048190970685a83fd2f59d completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33f9074c8190aeefc7f5283017e9 completed April 1, 2026, 3:04 p.m.
NEDg Description generation batch_69cd36ecc1d88190a978f1d51b0e1382 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e7822e48190bb573162f224bd8c completed April 1, 2026, 4:57 p.m.
Created at: March 30, 2026, 5:18 p.m.