Triple

T22676748
Position Surface form Disambiguated ID Type / Status
Subject Tây Nguyên E560364 entity
Predicate hasPart P35 FINISHED
Object Đắk Nông Province — NE NERFINISHED

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: Đắk Nông Province | Statement: [Tây Nguyên, hasPart, Đắk Nông Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Đắk Nông Province
Context triple: [Tây Nguyên, hasPart, Đắk Nông Province]
  • A. Đắk Nông Province chosen
    Đắk Nông Province is a mountainous, coffee-growing province in Vietnam’s Central Highlands known for its ethnic diversity, waterfalls, and volcanic landscapes.
  • B. Dak Nong Province
    Dak Nong Province is a mountainous region in Vietnam’s Central Highlands known for its ethnic diversity, volcanic landscapes, and coffee cultivation.
  • C. Đắk Lắk Province
    Đắk Lắk Province is a mountainous region in Vietnam’s Central Highlands known for its coffee production, ethnic diversity, and the provincial capital Buôn Ma Thuột.
  • D. Gia Lai
    Gia Lai is a mountainous province in Vietnam’s Central Highlands known for its diverse ethnic communities, coffee cultivation, and scenic plateaus.
  • E. Bình Phước Province
    Bình Phước Province is a largely rural, forested province in southern Vietnam, known for its rubber and cashew plantations and its location along the Cambodian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1785ca1e08190af1a6cdb51ca4fce completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.