Triple

T1765184
Position Surface form Disambiguated ID Type / Status
Subject Nhuệ River E38745 entity
Predicate flowsThrough P225 FINISHED
Object Đan Phượng District E45965 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: Đan Phượng District | Statement: [Nhuệ River, flowsThrough, Đan Phượng District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Đan Phượng District
Context triple: [Nhuệ River, flowsThrough, Đan Phượng District]
  • A. Đan Phượng District chosen
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • 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. 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.
  • E. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, 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_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_69ae0ab3a140819081dbb7b19e33051c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:31 p.m.