Triple

T20308373
Position Surface form Disambiguated ID Type / Status
Subject Rhade people E510163 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: [Rhade people, region, Tây Nguyên]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Nguyên
Context triple: [Rhade people, 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. 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.
  • C. Gayo Highlands
    Gayo Highlands is a mountainous region in central Aceh, Indonesia, known for its indigenous Gayo culture and high-quality Arabica coffee production.
  • D. 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.
  • E. M'Nông
    The M'Nông are an indigenous ethnic group of Vietnam known for their traditional swidden agriculture, rich oral epics, and gong-based musical culture.
  • 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.