Triple

T10489685
Position Surface form Disambiguated ID Type / Status
Subject Sheka Zone E247381 entity
Predicate hasLanguage P15 FINISHED
Object Kafa language E347536 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: Kafa language | Statement: [Sheka Zone, hasLanguage, Kafa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kafa language
Context triple: [Sheka Zone, hasLanguage, Kafa language]
  • A. Kafa language chosen
    The Kafa language is an Afroasiatic Omotic language spoken by the Kafa people of southwestern Ethiopia.
  • B. Gafat language
    The Gafat language is an extinct South Ethiopic Semitic language once spoken in Ethiopia, closely related to Harari and derived from the ancient Ge'ez linguistic tradition.
  • C. Kofyar language
    The Kofyar language is a Plateau language of central Nigeria spoken by the Kofyar people, known for its rich noun class system and complex tonal patterns.
  • D. Kipsigis language
    The Kipsigis language is a Southern Nilotic language spoken by the Kipsigis people of Kenya, forming part of the broader Kalenjin language cluster.
  • E. Kaba language
    The Kaba language is a Central Sudanic language spoken primarily in parts of Chad and the Central African Republic by Kaba ethnic groups.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.