Triple

T5181987
Position Surface form Disambiguated ID Type / Status
Subject South Kivu E116941 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Shi
The Shi are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
 E499768 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: Shi | Statement: [South Kivu, hasEthnicGroup, Shi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shi
Context triple: [South Kivu, hasEthnicGroup, Shi]
  • A. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Shishi
    Shishi is a coastal county-level city in Fujian Province, China, known as a major center for the textile and garment industry.
  • 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: Shi
Triple: [South Kivu, hasEthnicGroup, Shi]
Generated description
The Shi are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shi
Target entity description: The Shi are a Bantu-speaking ethnic group primarily inhabiting the South Kivu region of the eastern Democratic Republic of the Congo, known for their agrarian lifestyle and rich cultural traditions.
  • A. Shi
    Shi is a Chinese surname historically associated with members of the Jewish community in Kaifeng, China.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Shishi
    Shishi is a coastal county-level city in Fujian Province, China, known as a major center for the textile and garment industry.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799bc58c819098a8e91e21baaef4 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed959004c81908e28156aae15bee6 completed March 21, 2026, 5:46 p.m.
NEDg Description generation batch_69beda0419108190862d028a14227e8a completed March 21, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69bedaa232ac81908c5ee2d4ba8cbcd7 completed March 21, 2026, 5:51 p.m.
Created at: March 20, 2026, 1:45 p.m.