Triple

T1852694
Position Surface form Disambiguated ID Type / Status
Subject Hoàng Mai District E41630 entity
Predicate nativeName P15 FINISHED
Object Quận Hoàng Mai E41630 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: Quận Hoàng Mai | Statement: [Hoàng Mai District, nativeName, Quận Hoàng Mai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quận Hoàng Mai
Context triple: [Hoàng Mai District, nativeName, Quận Hoàng Mai]
  • A. Hoàng Mai District chosen
    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.
  • B. Ứng Hòa District
    Ứng Hòa District is a rural administrative district located in the southern part of Hanoi, Vietnam, known for its agricultural landscape and traditional craft villages.
  • C. 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.
  • D. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Hà Đông District
    Hà Đông District is an urban district of Hanoi, Vietnam, known for its rapid urbanization, traditional craft villages, and role as a key gateway area in the southwest of the capital.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06999f4819086386aafb789a368 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc7f4988190931e58d2f95b9049 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:33 p.m.