Triple

T10109916
Position Surface form Disambiguated ID Type / Status
Subject hsn E218212 entity
Predicate hasDialect P4251 FINISHED
Object Yuanjiang Xiang
Yuanjiang Xiang is a regional variety of the Xiang Chinese language spoken in and around Yuanjiang in Hunan Province, China.
 E848135 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: Yuanjiang Xiang | Statement: [hsn, hasDialect, Yuanjiang Xiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuanjiang Xiang
Context triple: [hsn, hasDialect, Yuanjiang Xiang]
  • A. Lianghe
    Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • D. Nanxi
    Nanxi was an early form of Chinese drama from the Song dynasty that combined music, dialogue, and dance, and is considered a foundational precursor to later Chinese operatic traditions.
  • E. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • 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: Yuanjiang Xiang
Triple: [hsn, hasDialect, Yuanjiang Xiang]
Generated description
Yuanjiang Xiang is a regional variety of the Xiang Chinese language spoken in and around Yuanjiang in Hunan Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuanjiang Xiang
Target entity description: Yuanjiang Xiang is a regional variety of the Xiang Chinese language spoken in and around Yuanjiang in Hunan Province, China.
  • A. Lianghe
    Lianghe is a town in southwestern China's Yunnan province, known as the seat of Lianghe County within the Dehong Dai and Jingpo Autonomous Prefecture.
  • B. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • C. Yongcong
    Yongcong was a Qing dynasty imperial prince, one of the sons of the Qianlong Emperor of China.
  • D. Nanxi
    Nanxi was an early form of Chinese drama from the Song dynasty that combined music, dialogue, and dance, and is considered a foundational precursor to later Chinese operatic traditions.
  • E. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • 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_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_69d32aa5032081909b2aab2f8eb4c4a7 completed April 6, 2026, 3:38 a.m.
NEDg Description generation batch_69d32b784dd48190be1e9ab9c36c224e completed April 6, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_69d3481d882c8190be8653289b712d08 completed April 6, 2026, 5:43 a.m.
Created at: March 30, 2026, 9:03 p.m.