Triple
T15945279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Nations, Nationalities, and Peoples' Region |
E386668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Konso |
E840298
|
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: Konso | Statement: [Southern Nations, Nationalities, and Peoples' Region, contains, Konso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konso Context triple: [Southern Nations, Nationalities, and Peoples' Region, contains, Konso]
-
A.
Konso
chosen
Konso is a Cushitic language spoken primarily by the Konso people of southwestern Ethiopia.
-
B.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
C.
Wolaytta
Wolaytta is a Cushitic-influenced Omotic language spoken primarily by the Wolaytta people in southern Ethiopia.
-
D.
Nekemte
Nekemte is a significant urban center in western Ethiopia known as a commercial and administrative hub of the Oromia Region.
-
E.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, 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_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_69ffe46d180c81909be66f628d1bdf72 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:53 a.m.