Triple
T10726852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wukro |
E252970
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Wukro woreda
Wukro woreda is an administrative district in the Tigray Region of northern Ethiopia, centered around the town of Wukro.
|
E885228
|
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: Wukro woreda | Statement: [Wukro, partOf, Wukro woreda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wukro woreda Context triple: [Wukro, partOf, Wukro woreda]
-
A.
Adwa woreda
Adwa woreda is an administrative district in the Tigray Region of northern Ethiopia, centered around the historic town of Adwa.
-
B.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
C.
Goro woreda
Goro woreda is an administrative district located within Ethiopia’s Bale Zone in the Oromia Region.
-
D.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
E.
Hawzen woreda
Hawzen woreda is an administrative district in the Tigray Region of northern Ethiopia, known for its rural communities and historical significance.
- 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: Wukro woreda Triple: [Wukro, partOf, Wukro woreda]
Generated description
Wukro woreda is an administrative district in the Tigray Region of northern Ethiopia, centered around the town of Wukro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wukro woreda Target entity description: Wukro woreda is an administrative district in the Tigray Region of northern Ethiopia, centered around the town of Wukro.
-
A.
Adwa woreda
Adwa woreda is an administrative district in the Tigray Region of northern Ethiopia, centered around the historic town of Adwa.
-
B.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
C.
Goro woreda
Goro woreda is an administrative district located within Ethiopia’s Bale Zone in the Oromia Region.
-
D.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
E.
Hawzen woreda
Hawzen woreda is an administrative district in the Tigray Region of northern Ethiopia, known for its rural communities and historical significance.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc713f081909ba1d1b986c1fe5c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5568489c81908a902867feffdb4f |
completed | April 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69de5952f6c48190abd3b87372d54f58 |
completed | April 14, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de5ed49c9c8190a4085407f88d7a05 |
completed | April 14, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:14 p.m.