Triple

T10489334
Position Surface form Disambiguated ID Type / Status
Subject Maba language E247372 entity
Predicate hasGeneticRelation P72989 FINISHED
Object Kibet language E262853 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: Kibet language | Statement: [Maba language, hasGeneticRelation, Kibet language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kibet language
Context triple: [Maba language, hasGeneticRelation, Kibet language]
  • A. 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.
  • B. Kamba language
    Kamba language is a Bantu language spoken primarily by the Kamba people of Kenya, known for its rich oral traditions and close linguistic ties to other Central Kenya Bantu languages.
  • C. Kenga language chosen
    The Kenga language is a Central Sudanic language spoken primarily by the Kenga people in Chad.
  • D. 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.
  • E. Mamboru language
    The Mamboru language is an Austronesian language spoken by a small community on Sumba Island in eastern Indonesia.
  • 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_69d5190da7f081908c38b5964a567e37 completed April 7, 2026, 2:47 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.