Triple

T11303627
Position Surface form Disambiguated ID Type / Status
Subject Kamba language E267658 entity
Predicate alternativeName P39 FINISHED
Object Kikamba language E267658 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: Kikamba language | Statement: [Kamba language, alternativeName, Kikamba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kikamba language
Context triple: [Kamba language, alternativeName, Kikamba language]
  • A. Kambaata language
    The Kambaata language is a Cushitic language of the Afroasiatic family spoken primarily by the Kambaata people in southern Ethiopia.
  • B. Kamba language chosen
    Kamba language is a Bantu language spoken primarily by the Kamba people of Kenya, known for its rich oral traditions and close linguistic ties to other Central Kenya Bantu languages.
  • C. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • D. Mbunda language
    The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
  • E. Matsigenka language
    The Matsigenka language is an Arawakan language spoken by the Matsigenka people of the Peruvian Amazon, known for its rich oral tradition and close relation to other Kampan Arawak languages.
  • 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.