Triple

T15944803
Position Surface form Disambiguated ID Type / Status
Subject North Omotic E386656 entity
Predicate hasLanguage P15 FINISHED
Object Dizi language E1119797 NE FINISHED

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: Dizi language | Statement: [North Omotic, hasLanguage, Dizi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dizi language
Context triple: [North Omotic, hasLanguage, Dizi language]
  • A. Dizi language chosen
    The Dizi language is an Omotic language spoken by the Dizi people of southwestern Ethiopia, known for its complex tonal system and rich oral tradition.
  • B. Dusun language
    The Dusun language is an Austronesian language spoken primarily by the Dusun people of Sabah in Malaysian Borneo.
  • C. Dendi language
    The Dendi language is a Songhay language spoken primarily along the Niger River in Benin, Niger, and Nigeria, serving as a regional lingua franca in trade and daily communication.
  • D. Dusner language
    The Dusner language is a highly endangered Papuan language spoken by a small community in the West Papua region of Indonesia.
  • E. Dazaga language
    The Dazaga language is a Saharan language spoken primarily by the Daza (Tebu) people in Chad, Niger, Libya, and surrounding regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d016588190ae368197dfa7d43a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.