Triple
T13876592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karamoja region |
E333598
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Moroto District |
E1065547
|
NE FINISHED |
How this triple was built (2 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: Moroto District | Statement: [Karamoja region, contains, Moroto District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moroto District Context triple: [Karamoja region, contains, Moroto District]
-
A.
Moroto
chosen
Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja region.
-
B.
Gulu District
Gulu District is an administrative region in northern Uganda that serves as a cultural and historical center for the Acholi people.
-
C.
Mutasa District
Mutasa District is an administrative district in eastern Zimbabwe known for its mountainous terrain, tea and coffee estates, and location within Manicaland Province.
-
D.
Buhera District
Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
-
E.
Karamoja region
The Karamoja region is a remote, semi-arid area in northeastern Uganda known for its pastoralist communities, rugged landscapes, and significant wildlife conservation areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c7100b308190bdd5feaa116ee5fe |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.