Triple

T22569903
Position Surface form Disambiguated ID Type / Status
Subject Mahakiranti (proposed) E558050 entity
Predicate includesLanguage P2177 FINISHED
Object Dumi language 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: Dumi language | Statement: [Mahakiranti (proposed), includesLanguage, Dumi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumi language
Context triple: [Mahakiranti (proposed), includesLanguage, Dumi language]
  • A. Dumi language chosen
    Dumi language is a Kiranti language of the Sino-Tibetan family spoken by the Dumi people in eastern Nepal.
  • B. Buduma language
    The Buduma language is an Afro-Asiatic language spoken by the Buduma (Yedina) people around Lake Chad, particularly in Chad and Cameroon.
  • C. Duruma language
    The Duruma language is a Bantu language spoken by the Duruma, one of the Mijikenda peoples of coastal Kenya.
  • D. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • E. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fad35448190b51a3dd639ca8568 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.