Triple

T2073252
Position Surface form Disambiguated ID Type / Status
Subject Mê Linh District E44862 entity
Predicate hasNameInLanguage P15 FINISHED
Object Huyện 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: Huyện Mê Linh | Statement: [Mê Linh District, hasNameInLanguage, Huyện Mê Linh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huyện Mê Linh
Context triple: [Mê Linh District, hasNameInLanguage, Huyện 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. 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.
  • C. Hoài Đức District
    Hoài Đức District is a suburban administrative district of Hanoi, Vietnam, known for its rapid urbanization and proximity to the city center.
  • D. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. 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.
  • 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_69ae30547b288190ab9466686f749768 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:41 p.m.