Triple

T22629145
Position Surface form Disambiguated ID Type / Status
Subject Bahnar E558501 entity
Predicate region P40 FINISHED
Object Gia Lai 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: Gia Lai Province | Statement: [Bahnar, region, Gia Lai Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gia Lai Province
Context triple: [Bahnar, region, Gia Lai Province]
  • A. Gia Lai chosen
    Gia Lai is a mountainous province in Vietnam’s Central Highlands known for its diverse ethnic communities, coffee cultivation, and scenic plateaus.
  • 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. Lao Cai Province
    Lao Cai Province is a mountainous region in northwestern Vietnam bordering China, known for its ethnic diversity, terraced rice fields, and the popular tourist town of Sa Pa.
  • D. Đắk Nông Province
    Đắk Nông Province is a mountainous, coffee-growing province in Vietnam’s Central Highlands known for its ethnic diversity, waterfalls, and volcanic landscapes.
  • E. Dien Bien province
    Dien Bien province is a mountainous border province in Vietnam known for its historic Dien Bien Phu battlefield and its location in the remote northwest of the country.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3febd081909ff21abef1e4035d completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:02 p.m.