Triple

T2266922
Position Surface form Disambiguated ID Type / Status
Subject Ứng Hòa District E50166 entity
Predicate capital P234 FINISHED
Object Vân Đình
Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
 E250679 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: Vân Đình | Statement: [Ứng Hòa District, capital, Vân Đình]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vân Đình
Context triple: [Ứng Hòa District, capital, Vân Đình]
  • A. Nam Xuan
    Nam Xuan is a pseudonym used by Truong Chinh, a prominent Vietnamese communist leader and theorist who played a key role in the country’s revolutionary movement and early government.
  • B. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • C. Van Tien Dung
    Van Tien Dung was a Vietnamese general who served as the chief military strategist for North Vietnam and led the final offensive that ended the Vietnam War.
  • D. Lê Khả Phiêu
    Lê Khả Phiêu was a Vietnamese politician who served as General Secretary of the Communist Party of Vietnam from 1997 to 2001.
  • E. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • 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: Vân Đình
Triple: [Ứng Hòa District, capital, Vân Đình]
Generated description
Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vân Đình
Target entity description: Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
  • A. Nam Xuan
    Nam Xuan is a pseudonym used by Truong Chinh, a prominent Vietnamese communist leader and theorist who played a key role in the country’s revolutionary movement and early government.
  • B. An Lộc
    An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
  • C. Van Tien Dung
    Van Tien Dung was a Vietnamese general who served as the chief military strategist for North Vietnam and led the final offensive that ended the Vietnam War.
  • D. Lê Khả Phiêu
    Lê Khả Phiêu was a Vietnamese politician who served as General Secretary of the Communist Party of Vietnam from 1997 to 2001.
  • E. Tô Lâm
    Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bdc5dc81908f475353999161e4 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae76720e3c8190aeb82dd8779ff715 completed March 9, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:48 p.m.