Triple

T20765317
Position Surface form Disambiguated ID Type / Status
Subject Southern Ethiopia E511079 entity
Predicate hasLanguage P15 FINISHED
Object Oromo 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: Oromo language | Statement: [Southern Ethiopia, hasLanguage, Oromo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oromo language
Context triple: [Southern Ethiopia, hasLanguage, 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. Oromic languages
    The Oromic languages are a branch of the Cushitic language family spoken primarily by the Oromo people across Ethiopia and parts of neighboring countries.
  • D. Amharic
    Amharic is a Semitic language widely spoken in Ethiopia and used as a major language of government, education, and media in the country.
  • E. Wolaytta language
    The Wolaytta language is an Omotic language spoken primarily by the Wolaytta people of southwestern Ethiopia.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24bde0c8190b46986b89bf2e037 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.