Triple

T21053601
Position Surface form Disambiguated ID Type / Status
Subject Bondei language E518650 entity
Predicate closelyRelatedTo P37 FINISHED
Object Digo 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: Digo language | Statement: [Bondei language, closelyRelatedTo, Digo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digo language
Context triple: [Bondei language, closelyRelatedTo, Digo language]
  • A. Digo language chosen
    Digo language is a Bantu language spoken primarily by the Digo people, one of the Mijikenda communities along the coast of Kenya and northern Tanzania.
  • B. Dida language
    Dida language is a Niger-Congo language spoken primarily in Côte d'Ivoire, belonging to the Kru branch and known for its tonal and dialectal diversity.
  • C. Dibo language
    The Dibo language is a Nupoid language spoken by the Dibo people of central Nigeria.
  • D. Argobba language
    The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar region.
  • E. Datooga language
    The Datooga language is a Southern Nilotic language spoken by the Datooga people of north-central Tanzania, known for its complex dialect diversity and rich oral tradition.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.