Triple

T11107119
Position Surface form Disambiguated ID Type / Status
Subject Nhat Tan Bridge E262658 entity
Predicate locatedIn P40 FINISHED
Object Dong Anh District E887091 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: Dong Anh District | Statement: [Nhat Tan Bridge, locatedIn, Dong Anh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Anh District
Context triple: [Nhat Tan Bridge, locatedIn, Dong Anh District]
  • A. Dong Anh District chosen
    Dong Anh District is a suburban district of Hanoi, Vietnam, located north of the Red River and known for its rapidly developing residential and industrial areas.
  • B. 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.
  • C. Đan Phượng District
    Đan Phượng District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • D. Hoàng Mai District
    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.
  • E. Thanh Trì District
    Thanh Trì District is a suburban administrative district of Hanoi, Vietnam, located to the south of the city’s urban core and known for its rapidly urbanizing residential and industrial areas.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6546d4819092187e9c12a30ed5 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30d72588190a1ebab7477c9e668 completed May 6, 2026, 10:39 p.m.
Created at: April 8, 2026, 9:27 p.m.