Triple

T11786616
Position Surface form Disambiguated ID Type / Status
Subject Bình Xuyên District E280284 entity
Predicate hasCapital P204 FINISHED
Object Hương Canh
Hương Canh is a township in northern Vietnam that serves as the administrative and economic center of Bình Xuyên District in Vĩnh Phúc Province.
E946462 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: Hương Canh | Statement: [Bình Xuyên District, hasCapital, Hương Canh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hương Canh
Context triple: [Bình Xuyên District, hasCapital, Hương Canh]
  • A. Hoàng Thị Cúc
    Hoàng Thị Cúc was the mother of Vietnam’s last emperor, Bảo Đại, and a consort in the Nguyễn dynasty royal court.
  • B. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • C. Hoang Minh Thao
    Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
  • D. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • E. Trần Văn Hương
    Trần Văn Hương was a South Vietnamese politician who briefly served as president of South Vietnam during the final months of the Vietnam War.
  • 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: Hương Canh
Triple: [Bình Xuyên District, hasCapital, Hương Canh]
Generated description
Hương Canh is a township in northern Vietnam that serves as the administrative and economic center of Bình Xuyên District in Vĩnh Phúc Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hương Canh
Target entity description: Hương Canh is a township in northern Vietnam that serves as the administrative and economic center of Bình Xuyên District in Vĩnh Phúc Province.
  • A. Hoàng Thị Cúc
    Hoàng Thị Cúc was the mother of Vietnam’s last emperor, Bảo Đại, and a consort in the Nguyễn dynasty royal court.
  • B. Dang Bich Ha
    Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
  • C. Hoang Minh Thao
    Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
  • D. Bảo Thắng
    Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
  • E. Trần Văn Hương
    Trần Văn Hương was a South Vietnamese politician who briefly served as president of South Vietnam during the final months of the Vietnam War.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.