Triple
T11303815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kikuyu language |
E267661
|
entity |
| Predicate | hasEthnologueEntry |
P19233
|
FINISHED |
| Object | Kikuyu [kik] |
E53602
|
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: Kikuyu [kik] | Statement: [Kikuyu language, hasEthnologueEntry, Kikuyu [kik]]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikuyu [kik] Context triple: [Kikuyu language, hasEthnologueEntry, Kikuyu [kik]]
-
A.
Kikuyu
Kikuyu is a town in Kenya’s Nairobi Metropolitan Region, known as a fast-growing residential and commercial center west of Nairobi.
-
B.
Kikuyu
chosen
Kikuyu is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
-
C.
Kuy
Kuy is an Austroasiatic language spoken by the Kuy people in parts of Thailand, Laos, and Cambodia.
-
D.
Kirkia
Kirkia is a small genus of flowering plants in the family Kirkiaceae, comprising trees and shrubs native mainly to parts of Africa and Madagascar.
-
E.
Kik
Kik is a mobile instant messaging app that allows users to chat, share media, and interact with bots and services through a username-based platform.
- 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_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.