Triple
T8882454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somali Region |
E211442
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Kebri Dahar
Kebri Dahar is a town in eastern Ethiopia that serves as an important local center within the country's Somali Region.
|
E769378
|
NE FINISHED |
How this triple was built (4 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: Kebri Dahar | Statement: [Somali Region, containsCity, Kebri Dahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kebri Dahar Context triple: [Somali Region, containsCity, Kebri Dahar]
-
A.
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.
-
B.
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.
-
C.
Awasa
Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
-
D.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
E.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kebri Dahar Triple: [Somali Region, containsCity, Kebri Dahar]
Generated description
Kebri Dahar is a town in eastern Ethiopia that serves as an important local center within the country's Somali Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kebri Dahar Target entity description: Kebri Dahar is a town in eastern Ethiopia that serves as an important local center within the country's Somali Region.
-
A.
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.
-
B.
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.
-
C.
Awasa
Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
-
D.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
E.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
- F. None of above. chosen
Provenance (5 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc92c2f088190b953de2bfcbb5bb5 |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfc9b8cd108190a9b3482858b0363a |
completed | April 3, 2026, 2:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca54d4dc8190a2f94a6f3d2acaf9 |
completed | April 3, 2026, 2:10 p.m. |
Created at: March 30, 2026, 6:53 p.m.