Triple

T2051233
Position Surface form Disambiguated ID Type / Status
Subject Phúc Thọ District E45572 entity
Predicate borders P224 FINISHED
Object Ba Vì District E45412 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: Ba Vì District | Statement: [Phúc Thọ District, borders, Ba Vì District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba Vì District
Context triple: [Phúc Thọ District, borders, Ba Vì District]
  • A. Ba Vì District chosen
    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.
  • B. Cau Giay District
    Cau Giay District is an urban district of Hanoi, Vietnam, known for its rapid development, educational institutions, and growing commercial and residential areas.
  • C. Le Thuy District
    Le Thuy District is a rural district in Quang Binh Province, Vietnam, best known as the birthplace of General Vo Nguyen Giap.
  • D. Văn Lâm District
    Văn Lâm District is a rural administrative district of Hưng Yên Province in northern Vietnam, located in the Red River Delta region near Hanoi.
  • E. Vinh Thanh District
    Vinh Thanh District is a rural administrative district in Can Tho, a centrally governed city in Vietnam’s Mekong Delta region.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b526edc8190b4958f63268c6e97 completed March 9, 2026, 8:19 p.m.
Created at: March 4, 2026, 7:39 p.m.