Triple

T10043049
Position Surface form Disambiguated ID Type / Status
Subject Geʽez E205342 entity
Predicate ancestorOf P369 FINISHED
Object Gafat language E229775 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: Gafat language | Statement: [Geʽez, ancestorOf, Gafat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gafat language
Context triple: [Geʽez, ancestorOf, Gafat language]
  • A. Gafat language chosen
    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.
  • B. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • C. Kafa language
    The Kafa language is an Afroasiatic Omotic language spoken by the Kafa people of southwestern Ethiopia.
  • D. Soddo language
    The Soddo language is an Afroasiatic Semitic language spoken by the Soddo Gurage people of central Ethiopia.
  • E. Dagbani language
    Dagbani is a major Gur language of northern Ghana, spoken primarily by the Dagomba people and used widely in education, media, and regional communication.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28278235c8190a5e833a9586bd3f5 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.