Triple

T11267732
Position Surface form Disambiguated ID Type / Status
Subject Yên Phong District E266730 entity
Predicate borders P224 FINISHED
Object Sóc Sơn District E42815 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: Sóc Sơn District | Statement: [Yên Phong District, borders, Sóc Sơn District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sóc Sơn District
Context triple: [Yên Phong District, borders, Sóc Sơn District]
  • A. Sóc Sơn District chosen
    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.
  • 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. 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.
  • D. Phúc Thọ District
    Phúc Thọ District is a rural administrative district located on the outskirts of Hanoi, Vietnam.
  • E. Tân Lạc District
    Tân Lạc District is a rural administrative district in Vietnam’s Hòa Bình Province, known for its mountainous terrain and ethnic minority communities.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94f60d48190bc925c3cb88641a8 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb63c80048190be87b41cdd4ac775 completed May 7, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:31 p.m.