Triple

T11302843
Position Surface form Disambiguated ID Type / Status
Subject Dagbani language E267637 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Dagomba E918696 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: Dagomba | Statement: [Dagbani language, hasEthnicGroup, Dagomba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagomba
Context triple: [Dagbani language, hasEthnicGroup, Dagomba]
  • A. Dagomba chosen
    Dagomba refers to an ethnic group primarily found in northern Ghana, known for their rich cultural traditions, chieftaincy system, and use of the Dagbani language.
  • B. Zande
    Zande is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
  • C. Kamba
    Kamba is a Bantu language spoken primarily by the Akamba people of Kenya, known for its rich oral traditions and regional cultural significance.
  • D. Mandinka
    Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
  • E. Dagara
    Dagara is a Gur language spoken primarily in parts of Ghana and Burkina Faso by the Dagara people.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a5c3788190ba54eda514b97903 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542df01fc81908539407e20543002 completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.