Triple

T10109962
Position Surface form Disambiguated ID Type / Status
Subject 湘语 E218213 entity
Predicate hasDialects P4251 FINISHED
Object 祁阳话
祁阳话是一种在湖南省祁阳市及周边地区使用的湘语方言,以其独特的语音和词汇特征区别于其他湘语分支。
E218213 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: 祁阳话 | Statement: [湘语, hasDialects, 祁阳话]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 祁阳话
Context triple: [湘语, hasDialects, 祁阳话]
  • A. 湘语
    湘语 is a major Sinitic language variety spoken primarily in Hunan Province, China, known for its distinct phonology and limited mutual intelligibility with Mandarin.
  • B. 客家话
    客家话是一种主要分布于中国南方及海外华人社区的汉语方言群,以其独特的语音、词汇和保留较多古汉语成分而著称。
  • C. Changsha dialect
    The Changsha dialect is a variety of Xiang Chinese spoken primarily in the urban area of Changsha, the capital of Hunan Province, and serves as the region’s main local vernacular.
  • D. Yuebei Hakka
    Yuebei Hakka is a regional variety of the Hakka Chinese language spoken primarily in the northern part of Guangdong province, China.
  • E. Meixian dialect
    The Meixian dialect is a major variety of Hakka Chinese spoken in Meixian District, Guangdong, and often regarded as the standard form of the Hakka language.
  • 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: 祁阳话
Triple: [湘语, hasDialects, 祁阳话]
Generated description
祁阳话是一种在湖南省祁阳市及周边地区使用的湘语方言,以其独特的语音和词汇特征区别于其他湘语分支。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 祁阳话
Target entity description: 祁阳话是一种在湖南省祁阳市及周边地区使用的湘语方言,以其独特的语音和词汇特征区别于其他湘语分支。
  • A. 湘语 chosen
    湘语 is a major Sinitic language variety spoken primarily in Hunan Province, China, known for its distinct phonology and limited mutual intelligibility with Mandarin.
  • B. 客家话
    客家话是一种主要分布于中国南方及海外华人社区的汉语方言群,以其独特的语音、词汇和保留较多古汉语成分而著称。
  • C. Changsha dialect
    The Changsha dialect is a variety of Xiang Chinese spoken primarily in the urban area of Changsha, the capital of Hunan Province, and serves as the region’s main local vernacular.
  • D. Yuebei Hakka
    Yuebei Hakka is a regional variety of the Hakka Chinese language spoken primarily in the northern part of Guangdong province, China.
  • E. Meixian dialect
    The Meixian dialect is a major variety of Hakka Chinese spoken in Meixian District, Guangdong, and often regarded as the standard form of the Hakka language.
  • F. None of above.

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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cdb3c88190a74f75bf865664f3 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc1805d08190bc39aadf1e84a569 completed April 5, 2026, 8:54 p.m.
NEDg Description generation batch_69d2cd8f0a688190a437b7e2d158c70c completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce422e4c8190b54b94cdfa0c4c98 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:03 p.m.