Triple

T8368271
Position Surface form Disambiguated ID Type / Status
Subject Chương Mỹ District E197388 entity
Predicate borderedBy P224 FINISHED
Object Quốc Oai District E47252 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: Quốc Oai District | Statement: [Chương Mỹ District, borderedBy, Quốc Oai District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quốc Oai District
Context triple: [Chương Mỹ District, borderedBy, Quốc Oai District]
  • A. Quốc Oai District chosen
    Quốc Oai District is a rural administrative district located on the western outskirts of Hanoi, Vietnam, known for its agricultural landscape and traditional villages.
  • B. 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.
  • C. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • D. 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.
  • E. 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.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d0a3ba481909a8c247c4c476104 completed April 2, 2026, 7:38 a.m.
Created at: March 30, 2026, 6:01 p.m.