Triple

T6350123
Position Surface form Disambiguated ID Type / Status
Subject Daoguang Emperor E142847 entity
Predicate personalName P24312 FINISHED
Object Mianning
Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
 E587316 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: Mianning | Statement: [Daoguang Emperor, personalName, Mianning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mianning
Context triple: [Daoguang Emperor, personalName, Mianning]
  • A. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • B. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • C. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • D. Zuoz
    Zuoz is a picturesque alpine village and ski resort in Switzerland’s Upper Engadine valley, known for its well-preserved historic center and traditional Engadine architecture.
  • E. Diqing
    Diqing is an autonomous prefecture in northwestern Yunnan Province, China, known for its Tibetan culture, high-altitude landscapes, and proximity to the eastern Himalayas.
  • 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: Mianning
Triple: [Daoguang Emperor, personalName, Mianning]
Generated description
Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mianning
Target entity description: Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
  • A. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • B. Yangsansi
    Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
  • C. Jinyang
    Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
  • D. Zuoz
    Zuoz is a picturesque alpine village and ski resort in Switzerland’s Upper Engadine valley, known for its well-preserved historic center and traditional Engadine architecture.
  • E. Diqing
    Diqing is an autonomous prefecture in northwestern Yunnan Province, China, known for its Tibetan culture, high-altitude landscapes, and proximity to the eastern Himalayas.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bcec2c8190bb383605847b0f0b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044fcd288190abdc5746e2904928 completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6083573c48190ba629b72cbaf4ef3 completed March 27, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c6092e12d481909b41fd35d6ae1d57 completed March 27, 2026, 4:35 a.m.
Created at: March 22, 2026, 4:31 p.m.