Triple
T11303726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gĩkũyũ |
E267660
|
entity |
| Predicate | autonym |
P1435
|
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: [Gĩkũyũ, autonym, Agĩkũyũ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agĩkũyũ Context triple: [Gĩkũyũ, autonym, 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.
Adyumba
Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
-
C.
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.
-
D.
Ubulu-Uku
Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
-
E.
Ubungo
Ubungo is an administrative district and urban area within the city of Dar es Salaam in eastern Tanzania.
- 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_69e525b4bdb88190b22d64eb65e97d9d |
completed | April 19, 2026, 6:57 p.m. |
Created at: April 8, 2026, 9:32 p.m.