Triple

T1810555
Position Surface form Disambiguated ID Type / Status
Subject Long Biên District E40320 entity
Predicate hasWard P14475 FINISHED
Object Việt Hưng
Việt Hưng is an urban ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
 E205112 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: Việt Hưng | Statement: [Long Biên District, hasWard, Việt Hưng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Việt Hưng
Context triple: [Long Biên District, hasWard, Việt Hưng]
  • A. Phúc Lợi
    Phúc Lợi is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • B. Phúc Đồng
    Phúc Đồng is a ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • C. Nam Kỳ
    Nam Kỳ is the Vietnamese name for Cochinchina, the historical southern region of Vietnam that was colonized by France and later became part of the modern Vietnamese state.
  • D. 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.
  • E. Nghia Hung District
    Nghia Hung District is a rural administrative district located in Nam Dinh Province in the Red River Delta region of northern 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: Việt Hưng
Triple: [Long Biên District, hasWard, Việt Hưng]
Generated description
Việt Hưng is an urban ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Việt Hưng
Target entity description: Việt Hưng is an urban ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • A. Phúc Lợi
    Phúc Lợi is a ward-level administrative subdivision located within Long Biên District of Hanoi, Vietnam.
  • B. Phúc Đồng
    Phúc Đồng is a ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • C. Nam Kỳ
    Nam Kỳ is the Vietnamese name for Cochinchina, the historical southern region of Vietnam that was colonized by France and later became part of the modern Vietnamese state.
  • D. 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.
  • E. Nghia Hung District
    Nghia Hung District is a rural administrative district located in Nam Dinh Province in the Red River Delta region of northern 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c461e881908070cb80d9092981 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9aa4c5881908b21829dda45da5a completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:32 p.m.