Triple

T4570280
Position Surface form Disambiguated ID Type / Status
Subject Min Chinese E123012 entity
Predicate hasMajorVariety P455 FINISHED
Object Leizhou Min
Leizhou Min is a Southern Min Chinese dialect spoken primarily in the Leizhou Peninsula of Guangdong, China, known for its distinct phonology and vocabulary.
 E454296 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: Leizhou Min | Statement: [Min Chinese, hasMajorVariety, Leizhou Min]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leizhou Min
Context triple: [Min Chinese, hasMajorVariety, Leizhou Min]
  • A. Qingyuan
    Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
  • B. Chaozhou
    Chaozhou is a historic city in eastern Guangdong, China, known for its distinctive Teochew culture, cuisine, language, and traditional arts.
  • C. Longchuan Hakka
    Longchuan Hakka is a regional variety of the Hakka Chinese language spoken primarily in Longchuan County in Guangdong, China.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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: Leizhou Min
Triple: [Min Chinese, hasMajorVariety, Leizhou Min]
Generated description
Leizhou Min is a Southern Min Chinese dialect spoken primarily in the Leizhou Peninsula of Guangdong, China, known for its distinct phonology and vocabulary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leizhou Min
Target entity description: Leizhou Min is a Southern Min Chinese dialect spoken primarily in the Leizhou Peninsula of Guangdong, China, known for its distinct phonology and vocabulary.
  • A. Qingyuan
    Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
  • B. Chaozhou
    Chaozhou is a historic city in eastern Guangdong, China, known for its distinctive Teochew culture, cuisine, language, and traditional arts.
  • C. Longchuan Hakka
    Longchuan Hakka is a regional variety of the Hakka Chinese language spoken primarily in Longchuan County in Guangdong, China.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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.