Triple

T10057252
Position Surface form Disambiguated ID Type / Status
Subject Wu Zetian E208892 entity
Predicate eraName P2938 FINISHED
Object Changshou
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
 E847878 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: Changshou | Statement: [Wu Zetian, eraName, Changshou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Changshou
Context triple: [Wu Zetian, eraName, Changshou]
  • A. 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.
  • B. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • C. Liyang
    Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
  • D. Sanxian
    The sanxian is a traditional Chinese three-stringed, fretless lute with a long neck and a snakeskin-covered soundboard, used in both folk and classical music.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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: Changshou
Triple: [Wu Zetian, eraName, Changshou]
Generated description
Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Changshou
Target entity description: Changshou was a Chinese imperial era name used during the reign of Empress Wu Zetian in the Tang dynasty.
  • A. 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.
  • B. Xiantao
    Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
  • C. Liyang
    Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
  • D. Sanxian
    The sanxian is a traditional Chinese three-stringed, fretless lute with a long neck and a snakeskin-covered soundboard, used in both folk and classical music.
  • E. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a950bc081909699d6bb31935cbd completed April 6, 2026, 3:37 a.m.
NEDg Description generation batch_69d32b53c600819080d476d292355f1c completed April 6, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69d32bb24ddc8190917fb78a263e671f completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 8:57 p.m.