Triple
T15945076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafa |
E386663
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kefa (Kafa) |
E1185231
|
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 (Kafa) | Statement: [Kafa, hasAlternativeName, Kefa (Kafa)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kefa (Kafa) Context triple: [Kafa, hasAlternativeName, Kefa (Kafa)]
-
A.
Kafa
Kafa is an Omotic language spoken primarily in southwestern Ethiopia by the Kafa people.
-
B.
Kefa
chosen
Kefa is an alternative name for Kafa, a historical region in southwestern Ethiopia known for its rich cultural heritage and association with the origins of coffee.
-
C.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Ermias
Ermias is the birth name of the late American rapper, entrepreneur, and community activist Nipsey Hussle.
-
E.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
- 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.