Triple

T2044197
Position Surface form Disambiguated ID Type / Status
Subject Ba Vì District E45412 entity
Predicate locatedNear P294 FINISHED
Object Ba Vì mountain E227725 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 mountain | Statement: [Ba Vì District, locatedNear, Ba Vì mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ba Vì mountain
Context triple: [Ba Vì District, locatedNear, Ba Vì mountain]
  • A. Ba Vì mountain range chosen
    Ba Vì mountain range is a scenic mountainous area in northern Vietnam known for its forested peaks, biodiversity, and the Ba Vì National Park.
  • B. Xuan Thuy
    Xuan Thuy was a North Vietnamese diplomat and politician best known as Hanoi’s chief negotiator at the Paris Peace Talks during the Vietnam War.
  • C. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • D. Ba Na Hills
    Ba Na Hills is a popular mountain resort and amusement complex near Da Nang, Vietnam, known for its cool climate, French-style village, and the iconic Golden Bridge held by giant stone hands.
  • E. Tây Đằng
    Tây Đằng is a township in Hanoi, Vietnam, serving as the main urban and governmental hub of Ba Vì District.
  • 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_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae304e72188190a9cb11195987a542 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:39 p.m.