Triple
T15945075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafa |
E386663
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kefa language |
E347536
|
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: Kefa language | Statement: [Kafa, hasAlternativeName, Kefa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kefa language Context triple: [Kafa, hasAlternativeName, Kefa language]
-
A.
Kafa language
chosen
The Kafa language is an Afroasiatic Omotic language spoken by the Kafa people of southwestern Ethiopia.
-
B.
Gafat language
The Gafat language is an extinct South Ethiopic Semitic language once spoken in Ethiopia, closely related to Harari and derived from the ancient Ge'ez linguistic tradition.
-
C.
Kipsigis language
The Kipsigis language is a Southern Nilotic language spoken by the Kipsigis people of Kenya, forming part of the broader Kalenjin language cluster.
-
D.
Keka language
Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
-
E.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.