Triple

T10109928
Position Surface form Disambiguated ID Type / Status
Subject hsn E218212 entity
Predicate hasDialect P4251 FINISHED
Object Taoyuan Xiang
Taoyuan Xiang is a regional variety of the Xiang Chinese language spoken primarily in the Taoyuan area of Hunan Province, China.
E843762 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: Taoyuan Xiang | Statement: [hsn, hasDialect, Taoyuan Xiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taoyuan Xiang
Context triple: [hsn, hasDialect, Taoyuan Xiang]
  • A. Taoyuan City
    Taoyuan City is a major municipality in northwestern Taiwan known for its rapidly growing urban areas, industrial zones, and proximity to Taiwan Taoyuan International Airport.
  • B. Liuyang
    Liuyang is a county-level city in Hunan Province, China, known for its fireworks industry and cultural heritage.
  • C. Sanming
    Sanming is a prefecture-level industrial and transport hub located in the mountainous interior of Fujian Province in southeastern China.
  • D. 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.
  • E. 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.
  • 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: Taoyuan Xiang
Triple: [hsn, hasDialect, Taoyuan Xiang]
Generated description
Taoyuan Xiang is a regional variety of the Xiang Chinese language spoken primarily in the Taoyuan area of Hunan Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taoyuan Xiang
Target entity description: Taoyuan Xiang is a regional variety of the Xiang Chinese language spoken primarily in the Taoyuan area of Hunan Province, China.
  • A. Taoyuan City
    Taoyuan City is a major municipality in northwestern Taiwan known for its rapidly growing urban areas, industrial zones, and proximity to Taiwan Taoyuan International Airport.
  • B. Liuyang
    Liuyang is a county-level city in Hunan Province, China, known for its fireworks industry and cultural heritage.
  • C. Sanming
    Sanming is a prefecture-level industrial and transport hub located in the mountainous interior of Fujian Province in southeastern China.
  • D. 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.
  • E. 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.
  • 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_69d2e59ec83c8190a79fbb0d0de90310 completed April 5, 2026, 10:43 p.m.
NEDg Description generation batch_69d2e6f0aa988190aa9a866afcc2a1a2 completed April 5, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69d2e78384f48190abb7bdd7fcadcd9a completed April 5, 2026, 10:51 p.m.
Created at: March 30, 2026, 9:03 p.m.