Triple
T15945401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidama |
E386669
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Hawassa |
E730157
|
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: Hawassa | Statement: [Sidama, associatedCity, Hawassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawassa Context triple: [Sidama, associatedCity, Hawassa]
-
A.
Shashamane
Shashamane is a prominent town in southern Ethiopia known for its diverse population, historical Rastafarian community, and role as a commercial and transport hub in the Oromia Region.
-
B.
Awasa
chosen
Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
-
C.
Jijiga
Jijiga is a major city in eastern Ethiopia that serves as the political and economic hub of the Somali Region.
-
D.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
-
E.
Bahir Dar
Bahir Dar is a major city in northwestern Ethiopia, known for its location on the southern shore of Lake Tana and as a gateway to the Blue Nile Falls and nearby monasteries.
- 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_69ffcf14ab088190b1d2f1f6b18bf85d |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.