Triple

T1764693
Position Surface form Disambiguated ID Type / Status
Subject Mỹ Đức District E38735 entity
Predicate capital P234 FINISHED
Object Đại Nghĩa
Đại Nghĩa is a township in Hanoi, Vietnam, serving as the administrative and economic center of Mỹ Đức District.
 E197386 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: Đại Nghĩa | Statement: [Mỹ Đức District, capital, Đại Nghĩa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Đại Nghĩa
Context triple: [Mỹ Đức District, capital, Đại Nghĩa]
  • A. Châu Đốc
    Châu Đốc is a riverine city in southern Vietnam near the Cambodian border, known for its bustling trade, cultural diversity, and proximity to the sacred pilgrimage site of Mount Sam.
  • B. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • E. Champa
    Champa was an ancient maritime kingdom in what is now central and southern Vietnam, known for its seafaring trade networks, Hindu-Buddhist culture, and distinctive temple architecture.
  • 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: Đại Nghĩa
Triple: [Mỹ Đức District, capital, Đại Nghĩa]
Generated description
Đại Nghĩa is a township in Hanoi, Vietnam, serving as the administrative and economic center of Mỹ Đức District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Đại Nghĩa
Target entity description: Đại Nghĩa is a township in Hanoi, Vietnam, serving as the administrative and economic center of Mỹ Đức District.
  • A. Châu Đốc
    Châu Đốc is a riverine city in southern Vietnam near the Cambodian border, known for its bustling trade, cultural diversity, and proximity to the sacred pilgrimage site of Mount Sam.
  • B. Thieu
    Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
  • C. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • D. Guguan
    Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
  • E. Champa
    Champa was an ancient maritime kingdom in what is now central and southern Vietnam, known for its seafaring trade networks, Hindu-Buddhist culture, and distinctive temple architecture.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646665088190afa31bdf48f14316 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0f37a28819086c35c9f7a07dea9 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada4da6a988190847452139e1c210d completed March 8, 2026, 4:33 p.m.
NED2 Entity disambiguation (via description) batch_69ada55d96b88190a4a5c6973d69592d completed March 8, 2026, 4:35 p.m.
Created at: March 4, 2026, 7:31 p.m.