Triple
T10489706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheka Zone |
E247381
|
entity |
| Predicate | hasWoreda |
P847
|
FINISHED |
| Object |
Yeki woreda
Yeki woreda is an administrative district in southwestern Ethiopia, located within the Sheka Zone of the South West Ethiopia Peoples' Region.
|
E869030
|
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: Yeki woreda | Statement: [Sheka Zone, hasWoreda, Yeki woreda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeki woreda Context triple: [Sheka Zone, hasWoreda, Yeki woreda]
-
A.
Anderacha woreda
Anderacha woreda is an administrative district located within the Sheka Zone of the South West Ethiopia Peoples' Region in southwestern Ethiopia.
-
B.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
C.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
D.
Goba woreda
Goba woreda is an administrative district in Ethiopia’s Oromia Region, known for its highland landscapes and proximity to the Bale Mountains.
-
E.
Lasta woreda
Lasta woreda is an administrative district in Ethiopia’s Amhara Region that includes the historic town of Lalibela, famous for its rock-hewn churches.
- 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: Yeki woreda Triple: [Sheka Zone, hasWoreda, Yeki woreda]
Generated description
Yeki woreda is an administrative district in southwestern Ethiopia, located within the Sheka Zone of the South West Ethiopia Peoples' Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yeki woreda Target entity description: Yeki woreda is an administrative district in southwestern Ethiopia, located within the Sheka Zone of the South West Ethiopia Peoples' Region.
-
A.
Anderacha woreda
Anderacha woreda is an administrative district located within the Sheka Zone of the South West Ethiopia Peoples' Region in southwestern Ethiopia.
-
B.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
C.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
D.
Goba woreda
Goba woreda is an administrative district in Ethiopia’s Oromia Region, known for its highland landscapes and proximity to the Bale Mountains.
-
E.
Lasta woreda
Lasta woreda is an administrative district in Ethiopia’s Amhara Region that includes the historic town of Lalibela, famous for its rock-hewn churches.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190da7f081908c38b5964a567e37 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
| NEDg | Description generation | batch_69d9107c75108190994939ab46aa642f |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9154c922c81909991f87f89c083cd |
completed | April 10, 2026, 3:20 p.m. |
Created at: April 6, 2026, 12:23 p.m.