Triple

T9418392
Position Surface form Disambiguated ID Type / Status
Subject Yong-Quan dialect group E227086 entity
Predicate languageBranch P1967 FINISHED
Object Xiang
Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
 E798334 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: Xiang | Statement: [Yong-Quan dialect group, languageBranch, Xiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xiang
Context triple: [Yong-Quan dialect group, languageBranch, Xiang]
  • A. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • D. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • E. Jian
    Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary China.
  • 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: Xiang
Triple: [Yong-Quan dialect group, languageBranch, Xiang]
Generated description
Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xiang
Target entity description: Xiang is a major group of Chinese dialects spoken primarily in Hunan province, known for preserving many archaic features of Middle Chinese.
  • A. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Xuan
    Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
  • D. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • E. Jian
    Jian is the given name of Ma Jian, a prominent Chinese-born writer known for his politically charged fiction and essays critical of contemporary China.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cd1e3481909abcb715e2398120 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c4d73881909ac38781fe90b1da completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1085a980c8190b4c6d811b07ab180 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1093f440481909aa27287019191ac completed April 4, 2026, 12:51 p.m.
Created at: March 30, 2026, 7:48 p.m.