Triple

T1870925
Position Surface form Disambiguated ID Type / Status
Subject Ba Đình District E39032 entity
Predicate contains P35 FINISHED
Object Giảng Võ Ward
Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
 E208946 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: Giảng Võ Ward | Statement: [Ba Đình District, contains, Giảng Võ Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giảng Võ Ward
Context triple: [Ba Đình District, contains, Giảng Võ Ward]
  • A. Ngọc Lâm Ward
    Ngọc Lâm Ward is an urban neighborhood in Hanoi, Vietnam, serving as the central hub of administration and services for Long Biên District.
  • B. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • C. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • D. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • E. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • 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: Giảng Võ Ward
Triple: [Ba Đình District, contains, Giảng Võ Ward]
Generated description
Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giảng Võ Ward
Target entity description: Giảng Võ Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the central Ba Đình District and known for its residential areas, offices, and cultural facilities.
  • A. Ngọc Lâm Ward
    Ngọc Lâm Ward is an urban neighborhood in Hanoi, Vietnam, serving as the central hub of administration and services for Long Biên District.
  • B. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • C. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • D. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • E. Seo District
    Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dd2d748190976277ac25f938ee completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add4628ed081908ea939b95e005299 completed March 8, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69add4e97dd08190a091d3d265b39138 completed March 8, 2026, 7:58 p.m.
Created at: March 4, 2026, 7:34 p.m.