Triple

T680287
Position Surface form Disambiguated ID Type / Status
Subject Jiangsu E13166 entity
Predicate hasAbbreviation P43 FINISHED
Object 苏
苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
 E82319 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: 苏 | Statement: [Jiangsu, hasAbbreviation, 苏]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 苏
Context triple: [Jiangsu, hasAbbreviation, 苏]
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • C. Sun Lianzhong
    Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • D. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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: 苏
Triple: [Jiangsu, hasAbbreviation, 苏]
Generated description
苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 苏
Target entity description: 苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • A. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • B. Suizhou
    Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
  • C. Sun Lianzhong
    Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • D. Xiao Zisheng
    Xiao Zisheng was a Chinese educator, writer, and early associate of Mao Zedong who played a significant role in introducing Western ideas and promoting modern education in early 20th-century China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04f4efc819082767a7517fa760a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a5701c8190810e5e52bc2b61f7 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5cd8acc888190b9bb80198bce5d00 completed March 2, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce6232e08190a8dba769f173f431 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.