Triple

T9868070
Position Surface form Disambiguated ID Type / Status
Subject Tay Ho District E239884 entity
Predicate borders P224 FINISHED
Object Ba Dinh District E39032 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: Ba Dinh District | Statement: [Tay Ho District, borders, Ba Dinh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba Dinh District
Context triple: [Tay Ho District, borders, Ba Dinh District]
  • A. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • B. Ba Đình District chosen
    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.
  • C. Long Biên District
    Long Biên District is an urban district of Hanoi, Vietnam, located on the eastern bank of the Red River and known for its rapid development and important transport links.
  • D. Thanh Oai District
    Thanh Oai District is a suburban administrative district of Hanoi, Vietnam, known for its traditional craft villages and rapidly urbanizing rural landscape.
  • E. Ly Nhan District
    Ly Nhan District is a rural administrative district located in Hà Nam Province in northern 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d34e4c81908c0fc14dd6d015cc completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4cbacad608190adddd91f13e4113b completed April 19, 2026, 12:33 p.m.
Created at: March 30, 2026, 8:36 p.m.