Triple

T8170197
Position Surface form Disambiguated ID Type / Status
Subject Liuyang E190796 entity
Predicate hasChineseName P4878 FINISHED
Object 浏阳
浏阳是中国湖南省东部的一座县级市，以烟花爆竹产业和红色革命历史而闻名。
 E716014 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: 浏阳 | Statement: [Liuyang, hasChineseName, 浏阳]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 浏阳
Context triple: [Liuyang, hasChineseName, 浏阳]
  • A. Loudi
    Loudi is a prefecture-level city in south-central China known for its role as an industrial and transportation hub within Hunan Province.
  • B. Yongzhou
    Yongzhou is a prefecture-level city in southern Hunan Province, China, known for its long history and location at the confluence of the Xiang and Xiao rivers.
  • C. Changsha County
    Changsha County is an administrative division of Hunan Province in south-central China that encompasses the area served by Changsha Huanghua International Airport.
  • D. Xiangxiang City
    Xiangxiang City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Xiangtan and known for its historical and cultural heritage.
  • E. Hengyang
    Hengyang is a major industrial and transportation hub city in southern China, located along the Xiang River in the south of Hunan Province.
  • 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: 浏阳
Triple: [Liuyang, hasChineseName, 浏阳]
Generated description
浏阳是中国湖南省东部的一座县级市，以烟花爆竹产业和红色革命历史而闻名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 浏阳
Target entity description: 浏阳是中国湖南省东部的一座县级市，以烟花爆竹产业和红色革命历史而闻名。
  • A. Loudi
    Loudi is a prefecture-level city in south-central China known for its role as an industrial and transportation hub within Hunan Province.
  • B. Yongzhou
    Yongzhou is a prefecture-level city in southern Hunan Province, China, known for its long history and location at the confluence of the Xiang and Xiao rivers.
  • C. Changsha County
    Changsha County is an administrative division of Hunan Province in south-central China that encompasses the area served by Changsha Huanghua International Airport.
  • D. Xiangxiang City
    Xiangxiang City is a county-level city in Hunan Province, China, administered by the prefecture-level city of Xiangtan and known for its historical and cultural heritage.
  • E. Hengyang
    Hengyang is a major industrial and transportation hub city in southern China, located along the Xiang River in the south of Hunan Province.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf542c388190b99fe4f0c6b7b946 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc312a8608190b899394752ef375f completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd84893488190ae5376524650d5c4 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:39 p.m.