Triple

T8850559
Position Surface form Disambiguated ID Type / Status
Subject Emperor Taizong of Tang E210626 entity
Predicate birthPlace P1 FINISHED
Object Wugong, Shaanxi
Wugong, Shaanxi is a historic county in central China’s Shaanxi province, notable as the birthplace of Emperor Taizong of the Tang dynasty.
 E761282 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: Wugong, Shaanxi | Statement: [Emperor Taizong of Tang, birthPlace, Wugong, Shaanxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wugong, Shaanxi
Context triple: [Emperor Taizong of Tang, birthPlace, Wugong, Shaanxi]
  • A. Hucheng
    Hucheng is the given name of Yang Hucheng, a prominent Chinese general and political figure best known for his role in the Xi'an Incident of 1936.
  • B. Qishan
    Qishan was a high-ranking Qing dynasty official and diplomat who played a key role in negotiating with the British during the First Opium War.
  • C. Shangluo
    Shangluo is a prefecture-level city in southeastern Shaanxi, China, known for its mountainous terrain, rich natural resources, and historical sites.
  • D. Guanghe
    Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • E. Liúyáng
    Liúyáng is the Hanyu Pinyin romanization of the Chinese city name Liuyang, located in Hunan Province, China.
  • 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: Wugong, Shaanxi
Triple: [Emperor Taizong of Tang, birthPlace, Wugong, Shaanxi]
Generated description
Wugong, Shaanxi is a historic county in central China’s Shaanxi province, notable as the birthplace of Emperor Taizong of the Tang dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wugong, Shaanxi
Target entity description: Wugong, Shaanxi is a historic county in central China’s Shaanxi province, notable as the birthplace of Emperor Taizong of the Tang dynasty.
  • A. Hucheng
    Hucheng is the given name of Yang Hucheng, a prominent Chinese general and political figure best known for his role in the Xi'an Incident of 1936.
  • B. Qishan
    Qishan was a high-ranking Qing dynasty official and diplomat who played a key role in negotiating with the British during the First Opium War.
  • C. Shangluo
    Shangluo is a prefecture-level city in southeastern Shaanxi, China, known for its mountainous terrain, rich natural resources, and historical sites.
  • D. Guanghe
    Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • E. Liúyáng
    Liúyáng is the Hanyu Pinyin romanization of the Chinese city name Liuyang, located in Hunan Province, China.
  • 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.