Triple

T2068699
Position Surface form Disambiguated ID Type / Status
Subject Đan Phượng District E45965 entity
Predicate capital P234 FINISHED
Object Phùng
Phùng is a township in Hanoi, Vietnam, serving as the administrative and commercial center of Đan Phượng District.
E231762 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: Phùng | Statement: [Đan Phượng District, capital, Phùng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phùng
Context triple: [Đan Phượng District, capital, Phùng]
  • A. 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.
  • 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. Đức Giang
    Đức Giang is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • D. 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.
  • E. Pak Suet-sin
    Pak Suet-sin is a renowned Cantonese opera actress celebrated for her refined singing, acting, and influential contributions to the art form in Hong Kong.
  • 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: Phùng
Triple: [Đan Phượng District, capital, Phùng]
Generated description
Phùng is a township in Hanoi, Vietnam, serving as the administrative and commercial center of Đan Phượng District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phùng
Target entity description: Phùng is a township in Hanoi, Vietnam, serving as the administrative and commercial center of Đan Phượng District.
  • A. 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.
  • 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. Đức Giang
    Đức Giang is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • D. 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.
  • E. Pak Suet-sin
    Pak Suet-sin is a renowned Cantonese opera actress celebrated for her refined singing, acting, and influential contributions to the art form in Hong Kong.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2901eb588190863e15deb8614754 completed March 9, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae297ebf6c819086e10ee455bea988 completed March 9, 2026, 1:59 a.m.
Created at: March 4, 2026, 7:41 p.m.