Triple

T2266938
Position Surface form Disambiguated ID Type / Status
Subject Ứng Hòa District E50166 entity
Predicate subdivisionName P747 FINISHED
Object Ứng Hòa E50166 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: Ứng Hòa | Statement: [Ứng Hòa District, subdivisionName, Ứng Hòa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ứng Hòa
Context triple: [Ứng Hòa District, subdivisionName, Ứng Hòa]
  • A. Ứng Hòa District chosen
    Ứng Hòa District is a rural administrative district located in the southern part of Hanoi, Vietnam, known for its agricultural landscape and traditional craft villages.
  • B. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • C. Mê Linh District
    Mê Linh District is a rural administrative district located on the outskirts of Hanoi, Vietnam, known for its agriculture and flower cultivation.
  • D. Gia Lâm District
    Gia Lâm District is an administrative district on the eastern outskirts of Hanoi, Vietnam, known for its mix of rapidly urbanizing areas and traditional rural communities.
  • E. Thường Tín District
    Thường Tín District is a suburban administrative district of Hanoi, Vietnam, known for its traditional craft villages and developing urban-rural landscape.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b7380c8190b1a70f7032c442a5 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:48 p.m.