Triple
T14170053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meru people |
E351181
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Kimeru |
E1037840
|
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: Kimeru | Statement: [Meru people, language, Kimeru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimeru Context triple: [Meru people, language, Kimeru]
-
A.
Kimeru
chosen
Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
-
B.
Lusamia
Lusamia is a Bantu language spoken by the Samia people living around the Kenya–Uganda border region in East Africa.
-
C.
Nyakyusa
The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
-
D.
Kamwambie
"Kamwambie" is a popular song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
-
E.
Kisii
Kisii is a bustling commercial and administrative town in southwestern Kenya, serving as a key hub for the surrounding agricultural highlands and the Kisii community.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:01 a.m.