Triple

T2073221
Position Surface form Disambiguated ID Type / Status
Subject Mê Linh District E44862 entity
Predicate subdivisionName P747 FINISHED
Object Mê Linh E44862 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: Mê Linh | Statement: [Mê Linh District, subdivisionName, Mê Linh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mê Linh
Context triple: [Mê Linh District, subdivisionName, Mê Linh]
  • A. Mê Linh District chosen
    Mê Linh District is a rural administrative district located on the outskirts of Hanoi, Vietnam, known for its agriculture and flower cultivation.
  • B. Phúc Đồng
    Phúc Đồng is a ward located in Long Biên District on the eastern side of Hanoi, Vietnam.
  • C. Sóc Sơn District
    Sóc Sơn District is a rural district in the northern part of Hanoi, Vietnam, known for its hilly terrain, forests, and the Nội Bài International Airport located within its area.
  • D. Ba Vì District
    Ba Vì District is a rural district on the western outskirts of Hanoi, Vietnam, known for its mountainous landscapes, Ba Vì National Park, and cultural 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba101c008190840763d2f28fa8d7 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae272ee27c8190a4bb4690961dccf6 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:41 p.m.