Triple

T1764837
Position Surface form Disambiguated ID Type / Status
Subject One Pillar Pagoda E38738 entity
Predicate locatedIn P40 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: [One Pillar Pagoda, locatedIn, Ba Dinh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba Dinh District
Context triple: [One Pillar Pagoda, locatedIn, 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. Cai Rang District
    Cai Rang District is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its bustling floating market and river-based commerce.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6467c3f08190abc8a06269ede908 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:31 p.m.