Triple
T12929160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kikuyu people |
E309326
|
entity |
| Predicate | selfDesignation |
P974
|
FINISHED |
| Object | Agĩkũyũ |
E267660
|
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: Agĩkũyũ | Statement: [Kikuyu people, selfDesignation, Agĩkũyũ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agĩkũyũ Context triple: [Kikuyu people, selfDesignation, Agĩkũyũ]
-
A.
Gĩkũyũ
chosen
Gĩkũyũ is a major Bantu ethnic group native to central Kenya, known for its significant cultural, political, and economic influence in the country.
-
B.
Akiniku
Akiniku is a titled member of the Oyo Mesi, the influential council of chiefs that served as kingmakers and key political authorities in the historic Oyo Empire of the Yoruba people.
-
C.
Adyumba
Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
-
D.
Ngundu
Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
-
E.
Ubulu-Uku
Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af687f548190b70ac8fa9bbbd414 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:42 p.m.