Triple

T7878002
Position Surface form Disambiguated ID Type / Status
Subject Hakka people E182904 entity
Predicate selfDesignation P974 FINISHED
Object 客家人
客家人是主要分布于中国南方及世界各地、以客家话和独特客家文化著称的汉族民系。
E701622 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: 客家人 | Statement: [Hakka people, selfDesignation, 客家人]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 客家人
Context triple: [Hakka people, selfDesignation, 客家人]
  • A. 客家话
    客家话是一种主要分布于中国南方及海外华人社区的汉语方言群,以其独特的语音、词汇和保留较多古汉语成分而著称。
  • B. Meixian Hakka
    Meixian Hakka is the prestige variety of the Hakka Chinese language, widely used as its standard form in education, media, and linguistic description.
  • C. Longchuan Hakka
    Longchuan Hakka is a regional variety of the Hakka Chinese language spoken primarily in Longchuan County in Guangdong, China.
  • D. Teochew people
    The Teochew people are a Han Chinese subgroup from the Chaoshan region of eastern Guangdong, known for their distinct Teochew dialect, cuisine, and diaspora communities across Southeast Asia and beyond.
  • E. Ganxian Hakka
    Ganxian Hakka is a regional variety of the Hakka Chinese language spoken primarily in and around Gan County in Jiangxi Province, 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: 客家人
Triple: [Hakka people, selfDesignation, 客家人]
Generated description
客家人是主要分布于中国南方及世界各地、以客家话和独特客家文化著称的汉族民系。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 客家人
Target entity description: 客家人是主要分布于中国南方及世界各地、以客家话和独特客家文化著称的汉族民系。
  • A. 客家话
    客家话是一种主要分布于中国南方及海外华人社区的汉语方言群,以其独特的语音、词汇和保留较多古汉语成分而著称。
  • B. Meixian Hakka
    Meixian Hakka is the prestige variety of the Hakka Chinese language, widely used as its standard form in education, media, and linguistic description.
  • C. Longchuan Hakka
    Longchuan Hakka is a regional variety of the Hakka Chinese language spoken primarily in Longchuan County in Guangdong, China.
  • D. Teochew people
    The Teochew people are a Han Chinese subgroup from the Chaoshan region of eastern Guangdong, known for their distinct Teochew dialect, cuisine, and diaspora communities across Southeast Asia and beyond.
  • E. Ganxian Hakka
    Ganxian Hakka is a regional variety of the Hakka Chinese language spoken primarily in and around Gan County in Jiangxi Province, 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b7fef308190bbc74e13f4205192 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:57 p.m.