Triple
T15945078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kafa |
E386663
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Kaffa Zone |
E1119801
|
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: Kaffa Zone | Statement: [Kafa, region, Kaffa Zone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaffa Zone Context triple: [Kafa, region, Kaffa Zone]
-
A.
Kaffa Zone
chosen
Kaffa Zone is an administrative area in southwestern Ethiopia known as the historic homeland of the Kaffa people and as one of the regions associated with the origin of coffee.
-
B.
Hirshabelle
Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
-
C.
Ethiopia–Kenya region
The Ethiopia–Kenya region is a transboundary area in East Africa where the two countries meet, encompassing diverse landscapes, cross-border communities, and shared ecological systems.
-
D.
Gurage
Gurage refers to a group of ethnolinguistic communities in south-central Ethiopia known for their distinct Semitic language varieties and rich cultural traditions.
-
E.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
- 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.