Triple
T8459815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bale Zone |
E200011
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Robe town
Robe town is an urban center in Ethiopia’s Oromia Region that serves as an important administrative and commercial hub for the surrounding Bale area.
|
E735315
|
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: Robe town | Statement: [Bale Zone, contains, Robe town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robe town Context triple: [Bale Zone, contains, Robe town]
-
A.
Piltown
Piltown is a village in County Kilkenny, Ireland, known for its agricultural show, historic tower, and location near the River Suir.
-
B.
King’s Town
King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
-
C.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
D.
Rosettenville
Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
-
E.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
- 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: Robe town Triple: [Bale Zone, contains, Robe town]
Generated description
Robe town is an urban center in Ethiopia’s Oromia Region that serves as an important administrative and commercial hub for the surrounding Bale area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robe town Target entity description: Robe town is an urban center in Ethiopia’s Oromia Region that serves as an important administrative and commercial hub for the surrounding Bale area.
-
A.
Piltown
Piltown is a village in County Kilkenny, Ireland, known for its agricultural show, historic tower, and location near the River Suir.
-
B.
King’s Town
King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
-
C.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
D.
Rosettenville
Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
-
E.
Crescent Town
Crescent Town is a densely populated, multicultural residential neighbourhood in Toronto, Ontario, known for its high-rise apartment complexes and proximity to public transit.
- 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.