Triple

T21429208
Position Surface form Disambiguated ID Type / Status
Subject Kenyah languages E528639 entity
Predicate includeVariety P41829 FINISHED
Object Kenyah Uma’ Lasan 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: Kenyah Uma’ Lasan | Statement: [Kenyah languages, includeVariety, Kenyah Uma’ Lasan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyah Uma’ Lasan
Context triple: [Kenyah languages, includeVariety, Kenyah Uma’ Lasan]
  • A. Kenyah Uma Baha chosen
    Kenyah Uma Baha is a subgroup of the Kenyah indigenous people of Borneo, distinguished by its own dialect, customs, and communal identity.
  • B. Nanuya Levu
    Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
  • C. Tika Kunama
    Tika Kunama is a dialectal variety of the Kunama language spoken by segments of the Kunama people in the Horn of Africa.
  • D. Kenyah
    The Kenyah are an indigenous Dayak ethnic group of Borneo, traditionally living in the interior highlands and river valleys of Sarawak and neighboring regions, known for their longhouse communities and rich oral traditions.
  • E. Kalasi Palya
    Kalasi Palya is a bustling, densely populated commercial and transport hub in central Bengaluru, India, known for its markets and proximity to major city landmarks.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813db52c8190ac933bc6ec4dbf77 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.