Triple

T8771663
Position Surface form Disambiguated ID Type / Status
Subject Oromo people E208476 entity
Predicate language P15 FINISHED
Object Oromo language E41327 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: Oromo language | Statement: [Oromo people, language, Oromo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oromo language
Context triple: [Oromo people, language, Oromo language]
  • A. Oromo chosen
    Oromo is a Cushitic language widely spoken by the Oromo people, primarily in Ethiopia and parts of neighboring East African countries.
  • B. Gurage languages
    The Gurage languages are a group of closely related South Ethiosemitic languages spoken primarily by the Gurage people in central and southwestern Ethiopia.
  • C. Amharic
    Amharic is a Semitic language widely spoken in Ethiopia and used as a major language of government, education, and media in the country.
  • D. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • E. Afaan Orma
    Afaan Orma is the native language of the Orma people, a Cushitic-speaking community primarily found in Kenya.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2c54c08190a904723d1f0527a4 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab596ef88190b538d15b0d71e176 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:41 p.m.