Triple

T4570283
Position Surface form Disambiguated ID Type / Status
Subject Min Chinese E123012 entity
Predicate hasMajorVariety P455 FINISHED
Object Min Bei
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
 E454298 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: Min Bei | Statement: [Min Chinese, hasMajorVariety, Min Bei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Min Bei
Context triple: [Min Chinese, hasMajorVariety, Min Bei]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • C. Gao Yin
    Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
  • D. Ma Sichun
    Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
  • E. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • 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: Min Bei
Triple: [Min Chinese, hasMajorVariety, Min Bei]
Generated description
Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Min Bei
Target entity description: Min Bei is a major northern branch of the Min group of Sinitic (Chinese) languages, spoken primarily in parts of Fujian province in southeastern China.
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • C. Gao Yin
    Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
  • D. Ma Sichun
    Ma Sichun is a Chinese actress known for her acclaimed film and television roles, including winning the Golden Horse Award for Best Leading Actress.
  • E. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c3eba48190af1fce6e1ca16943 completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3c6806c81908fd374cd4537185e completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd94b5a1c819098d42f940d295728 completed March 20, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69bdd9aaab188190a2279b5fa73c6dbc completed March 20, 2026, 11:35 p.m.
Created at: March 20, 2026, 1:10 p.m.