Triple

T11786630
Position Surface form Disambiguated ID Type / Status
Subject Bình Xuyên District E280284 entity
Predicate borders P224 FINISHED
Object Yên Lạc District E276244 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: Yên Lạc District | Statement: [Bình Xuyên District, borders, Yên Lạc District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yên Lạc District
Context triple: [Bình Xuyên District, borders, Yên Lạc District]
  • A. Yên Lạc District chosen
    Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
  • B. 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.
  • C. Phu Xuyen District
    Phu Xuyen District is a rural administrative district of Hanoi, Vietnam, known for its traditional craft villages and agricultural production.
  • D. Yen Thanh District
    Yen Thanh District is a rural administrative district in north-central Vietnam, located within Nghe An Province and known for its agricultural economy and traditional villages.
  • E. Lạc Thủy District
    Lạc Thủy District is a rural administrative district in northern Vietnam, located within Hòa Bình Province and known for its mountainous terrain and agricultural 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9b70d08190aa74e612947317b5 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:42 p.m.