Triple

T2266851
Position Surface form Disambiguated ID Type / Status
Subject Afar E50164 entity
Predicate closelyRelatedTo P37 FINISHED
Object Oromo 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 | Statement: [Afar, closelyRelatedTo, Oromo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oromo
Context triple: [Afar, closelyRelatedTo, Oromo]
  • 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. Oromo people
    The Oromo people are the largest ethnic group in Ethiopia and the Horn of Africa, with a distinct Cushitic language, rich cultural traditions, and a historic socio-political system known as the Gadaa.
  • C. 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.
  • D. ETHIOPIAN
    ETHIOPIAN is the radio callsign used by Ethiopian Airlines for its flight operations and air traffic communications.
  • E. Amharic
    Amharic is a Semitic language widely spoken in Ethiopia and used as a major language of government, education, and media in the country.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.