Triple

T2358949
Position Surface form Disambiguated ID Type / Status
Subject Hussein Onyango Obama E47224 entity
Predicate nativeLanguage P151 FINISHED
Object Dholuo E234693 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: Dholuo | Statement: [Hussein Onyango Obama, nativeLanguage, Dholuo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dholuo
Context triple: [Hussein Onyango Obama, nativeLanguage, Dholuo]
  • A. Dholuo chosen
    Dholuo is a Nilotic language spoken primarily by the Luo people of western Kenya and parts of Tanzania.
  • B. Lisu
    The Lisu are an ethnic minority people of the mountainous regions of southwest China and neighboring countries, known for their distinct Tibeto-Burman language, traditional music, and vibrant festivals.
  • C. Siwu language
    The Siwu language is a Niger-Congo language spoken primarily in the Volta Region of Ghana by the Mawu people.
  • D. Ga-Dangme
    Ga-Dangme are an ethnic group of southeastern Ghana, historically known as coastal traders and fishermen with a rich cultural heritage and distinct Ga and Dangme language varieties.
  • E. Mundari
    Mundari is an Austroasiatic Munda language of eastern India, spoken primarily by the Munda people in states such as Jharkhand, Odisha, and West Bengal.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c37c448190b2d1fd5c404e0050 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:55 p.m.