Triple
T8459811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bale Zone |
E200011
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Goro woreda
Goro woreda is an administrative district located within Ethiopia’s Bale Zone in the Oromia Region.
|
E735311
|
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: Goro woreda | Statement: [Bale Zone, contains, Goro woreda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goro woreda Context triple: [Bale Zone, contains, Goro woreda]
-
A.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
B.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
C.
Hamar Weyne district
Hamar Weyne district is one of the oldest and historically significant quarters of Mogadishu, known for its traditional architecture, bustling markets, and coastal location along the Indian Ocean.
-
D.
Gamo-Gofa-Dawro
Gamo-Gofa-Dawro is a cluster of closely related Omotic languages spoken primarily in southwestern Ethiopia.
-
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: Goro woreda Triple: [Bale Zone, contains, Goro woreda]
Generated description
Goro woreda is an administrative district located within Ethiopia’s Bale Zone in the Oromia Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goro woreda Target entity description: Goro woreda is an administrative district located within Ethiopia’s Bale Zone in the Oromia Region.
-
A.
Kobo woreda
Kobo woreda is an administrative district in northern Ethiopia, located in the Amhara Region.
-
B.
Wadla woreda
Wadla woreda is an administrative district in Ethiopia's Amhara Region, known for its highland terrain and predominantly agrarian communities.
-
C.
Hamar Weyne district
Hamar Weyne district is one of the oldest and historically significant quarters of Mogadishu, known for its traditional architecture, bustling markets, and coastal location along the Indian Ocean.
-
D.
Gamo-Gofa-Dawro
Gamo-Gofa-Dawro is a cluster of closely related Omotic languages spoken primarily in southwestern Ethiopia.
-
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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49fca788190a8728ff74f4d26f5 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1df214ac8190b59daa88e3a930bc |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce21c53298819080137c87ff487b50 |
completed | April 2, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce23d6da1c8190a28bc895d737595e |
completed | April 2, 2026, 8:07 a.m. |
Created at: March 30, 2026, 6:10 p.m.