Triple

T15398057
Position Surface form Disambiguated ID Type / Status
Subject 何叔衡 E368232 entity
Predicate 籍贯 P1 FINISHED
Object 湖南宁乡 E649348 NE FINISHED

How this triple was built (2 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: 湖南宁乡 | Statement: [何叔衡, 籍贯, 湖南宁乡]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 湖南宁乡
Context triple: [何叔衡, 籍贯, 湖南宁乡]
  • A. 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。
  • B. 津市
    津市 is a coastal city in Mie Prefecture, Japan, known as the prefectural capital and an important regional administrative and transportation hub.
  • C. Shaoshan, Hunan, Qing Empire
    Shaoshan, Hunan, Qing Empire was a rural village in late imperial China best known as the birthplace of Mao Zedong, who would become the founding leader of the People's Republic of China.
  • D. Taoyuan County, Hunan, Qing Empire
    Taoyuan County, Hunan, Qing Empire was a historical county in south-central China that is notably recognized as the birthplace of prominent early Republican politician and revolutionary Song Jiaoren.
  • E. Changsha County chosen
    Changsha County is an administrative division of Hunan Province in south-central China that encompasses the area served by Changsha Huanghua International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8c5d40819086622b70edcb6294 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13542c908190abf765b0530c76ce completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.