Triple

T2395524
Position Surface form Disambiguated ID Type / Status
Subject Tây Hồ District E47641 entity
Predicate borders P224 FINISHED
Object Cầu Giấy District E40432 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: Cầu Giấy District | Statement: [Tây Hồ District, borders, Cầu Giấy District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cầu Giấy District
Context triple: [Tây Hồ District, borders, Cầu Giấy District]
  • A. Cầu Giấy District chosen
    Cầu Giấy District is an urban district of Hanoi, Vietnam, known for its rapid development, universities, and growing commercial and residential areas.
  • B. Đống Đa District
    Đống Đa District is a central urban district of Hanoi, Vietnam, known for its dense population, historical sites, and role as a major commercial and educational hub of the capital.
  • C. 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.
  • D. Thanh Xuân District
    Thanh Xuân District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • E. Hoàng Mai District
    Hoàng Mai District is an urban district of Hanoi, Vietnam, known as one of the city’s most populous and rapidly developing residential and commercial 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc879b1b88190be8d0337d9a17bd0 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f84a88388190af50c6861c635383 completed March 11, 2026, 11:18 p.m.
Created at: March 4, 2026, 7:57 p.m.