Triple

T2068713
Position Surface form Disambiguated ID Type / Status
Subject Đan Phượng District E45965 entity
Predicate borders P224 FINISHED
Object Mê Linh District 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 District | Statement: [Đan Phượng District, borders, Mê Linh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mê Linh District
Context triple: [Đan Phượng District, borders, Mê Linh District]
  • 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. Hiệp Hòa District
    Hiệp Hòa District is a rural administrative district in Bắc Giang Province, Vietnam, known for its agricultural economy and proximity to the capital region.
  • 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. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Quốc Oai District
    Quốc Oai District is a rural administrative district located on the western outskirts of Hanoi, Vietnam, known for its agricultural landscape and traditional villages.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f51a008190aead0173a9289204 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69af8342b7688190a626b4f5d3b3807d completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:41 p.m.