Triple

T1815773
Position Surface form Disambiguated ID Type / Status
Subject Cầu Giấy District E40432 entity
Predicate containsAdministrativeDivision P747 FINISHED
Object Dịch Vọng Ward E204444 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: Dịch Vọng Ward | Statement: [Cầu Giấy District, containsAdministrativeDivision, Dịch Vọng Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dịch Vọng Ward
Context triple: [Cầu Giấy District, containsAdministrativeDivision, Dịch Vọng Ward]
  • A. Dịch Vọng Ward chosen
    Dịch Vọng Ward is an urban administrative subdivision of Hanoi, Vietnam, located 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. Dịch Vọng Hậu Ward
    Dịch Vọng Hậu Ward is an urban administrative ward of Hanoi, Vietnam, known for its dense residential areas, educational institutions, and proximity to major technology and business hubs.
  • D. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • E. Cầu Giấy District
    Cầu Giấy District is an urban district of Hanoi, Vietnam, known for its rapid development, universities, and growing commercial and residential areas.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f614888190a475f7df627d5f0a completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9ac97e081908ab1d30fa41c3e9b completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:32 p.m.