Triple

T14860871
Position Surface form Disambiguated ID Type / Status
Subject Kismayo E349483 entity
Predicate languageUsed P238 FINISHED
Object Somali E41110 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: Somali | Statement: [Kismayo, languageUsed, Somali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somali
Context triple: [Kismayo, languageUsed, Somali]
  • A. Somali chosen
    Somali is a Cushitic language spoken primarily in Somalia and neighboring regions of the Horn of Africa, serving as a major lingua franca and national language for the Somali people.
  • B. Somali somalo
    The Somali somalo was the former official currency of Somalia used before the adoption of the Somali shilling.
  • C. Afar language
    The Afar language is a Cushitic language spoken primarily by the Afar people in Ethiopia, Eritrea, and Djibouti.
  • D. Afaan Orma
    Afaan Orma is the native language of the Orma people, a Cushitic-speaking community primarily found in Kenya.
  • E. Benadiri Somali
    Benadiri Somali is a coastal dialect of the Somali language spoken primarily by communities in and around Mogadishu and along Somalia’s southern Benadir coast.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650c41b081909cdadbaec472eee3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.