Triple

T2222769
Position Surface form Disambiguated ID Type / Status
Subject Thạch Thất District E48178 entity
Predicate locatedNear P294 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: [Thạch Thất District, locatedNear, Ba Vì District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ba Vì District
Context triple: [Thạch Thất District, locatedNear, 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. Yên Lạc District
    Yên Lạc District is a rural administrative district in Vĩnh Phúc Province in northern Vietnam.
  • D. 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.
  • E. 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.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa03c35f48190a4ad11595fea91ae completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:47 p.m.