Triple

T1931653
Position Surface form Disambiguated ID Type / Status
Subject Hai Bà Trưng District E40957 entity
Predicate hasSubdivision P747 FINISHED
Object Thanh Lương Ward
Thanh Lương Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
 E232782 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: Thanh Lương Ward | Statement: [Hai Bà Trưng District, hasSubdivision, Thanh Lương Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thanh Lương Ward
Context triple: [Hai Bà Trưng District, hasSubdivision, Thanh Lương Ward]
  • A. Trung Hòa Ward
    Trung Hòa Ward is an urban administrative subdivision of Hanoi, Vietnam, known as a residential and commercial area within the city's Cầu Giấy District.
  • B. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • C. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • D. Khương Trung Ward
    Khương Trung Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
  • E. Đồng Nhân Ward
    Đồng Nhân Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, 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: Thanh Lương Ward
Triple: [Hai Bà Trưng District, hasSubdivision, Thanh Lương Ward]
Generated description
Thanh Lương Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thanh Lương Ward
Target entity description: Thanh Lương Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • A. Trung Hòa Ward
    Trung Hòa Ward is an urban administrative subdivision of Hanoi, Vietnam, known as a residential and commercial area within the city's Cầu Giấy District.
  • B. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • C. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • D. Khương Trung Ward
    Khương Trung Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
  • E. Đồng Nhân Ward
    Đồng Nhân Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb297ec2c819092ad62d72005223d completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26fab724819094a3c02e8c3fc2df completed March 9, 2026, 1:48 a.m.
NEDg Description generation batch_69ae27e4a6f88190a6af44f2cc822f31 completed March 9, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae2876710c81909451744f48337998 completed March 9, 2026, 1:55 a.m.
Created at: March 4, 2026, 7:35 p.m.