Triple

T22676810
Position Surface form Disambiguated ID Type / Status
Subject Pleiku E560365 entity
Predicate region P40 FINISHED
Object Tây Nguyên 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: Tây Nguyên | Statement: [Pleiku, region, Tây Nguyên]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Nguyên
Context triple: [Pleiku, region, Tây Nguyên]
  • A. Tây Nguyên chosen
    Tây Nguyên is a mountainous plateau region in central Vietnam known for its diverse ethnic minority communities, coffee production, and extensive forests.
  • B. Kontum Plateau
    The Kontum Plateau is a highland region in Vietnam’s Central Highlands known for its elevated terrain, cooler climate, and diverse ethnic communities.
  • C. Cibao region
    The Cibao region is a culturally rich and economically important area in the northern Dominican Republic, known for its fertile valleys, vibrant cities, and strong baseball tradition.
  • D. Gayo Highlands
    Gayo Highlands is a mountainous region in central Aceh, Indonesia, known for its indigenous Gayo culture and high-quality Arabica coffee production.
  • E. Tilantongo region
    The Tilantongo region is a historic Mixtec area in present-day Oaxaca, Mexico, known as a major political and cultural center of pre-Columbian Mesoamerica.
  • 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.