Triple

T2395523
Position Surface form Disambiguated ID Type / Status
Subject Tây Hồ District E47641 entity
Predicate borders P224 FINISHED
Object Ba Đình 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 Đình District | Statement: [Tây Hồ District, borders, Ba Đình District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba Đình District
Context triple: [Tây Hồ District, borders, Ba Đình District]
  • A. 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.
  • B. 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.
  • 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. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Giao Thuy District
    Giao Thuy District is a rural coastal district in northern Vietnam known for its agriculture, fisheries, and proximity to the Xuan Thuy National Park wetland area.
  • 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_69b1eecac8548190941aa17044d11e59 completed March 11, 2026, 10:38 p.m.
Created at: March 4, 2026, 7:57 p.m.