Triple

T20308273
Position Surface form Disambiguated ID Type / Status
Subject Jarai people E510161 entity
Predicate populationRegion P10611 FINISHED
Object Dak Lak 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: Dak Lak Province | Statement: [Jarai people, populationRegion, Dak Lak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dak Lak Province
Context triple: [Jarai people, populationRegion, Dak Lak Province]
  • A. Dak Lak Province chosen
    Dak Lak Province is a mountainous region in Vietnam’s Central Highlands known for its coffee plantations, diverse ethnic communities, and the provincial capital Buon Ma Thuot.
  • B. Bac Kan Province
    Bac Kan Province is a mountainous, sparsely populated province in northeastern Vietnam known for its forests, ethnic minority communities, and scenic Ba Bể Lake.
  • C. Quang Duc Province
    Quang Duc Province was a former administrative province of South Vietnam located in the Central Highlands region.
  • D. Lam Dong Province
    Lam Dong Province is a mountainous region in Vietnam’s Central Highlands known for its cool climate, pine forests, and the popular tourist city of Da Lat.
  • E. Ben Tre Province
    Ben Tre Province is a coastal province in Vietnam’s Mekong Delta region, known for its extensive coconut plantations and intricate network of rivers and canals.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677411cf08190ba7e98a4135b643a completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.