Triple

T1931646
Position Surface form Disambiguated ID Type / Status
Subject Hai Bà Trưng District E40957 entity
Predicate hasSubdivision P747 FINISHED
Object Minh Khai Ward E217431 NE FINISHED

How this triple was built (2 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: Minh Khai Ward | Statement: [Hai Bà Trưng District, hasSubdivision, Minh Khai Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minh Khai Ward
Context triple: [Hai Bà Trưng District, hasSubdivision, Minh Khai Ward]
  • A. Nghĩa Đô Ward
    Nghĩa Đô Ward is an urban administrative ward located within Hanoi, Vietnam, known as part of the Cầu Giấy District.
  • B. Quan Hoa Ward
    Quan Hoa Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city's Cầu Giấy District.
  • C. Phúc Xá Ward
    Phúc Xá Ward is an urban administrative subdivision of Ba Đình District in central Hanoi, Vietnam.
  • D. Ba Đình District
    Ba Đình District is a central urban district of Hanoi, Vietnam, known as the political heart of the country and home to key government buildings and historical sites.
  • E. Đồng Nhân Ward chosen
    Đồng Nhân Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ae1fd173b881909fbd454fc9d7fabb completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:35 p.m.