Triple
T13077682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabale |
E329619
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Kabale District |
E1044328
|
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: Kabale District | Statement: [Kabale, capitalOf, Kabale District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kabale District Context triple: [Kabale, capitalOf, Kabale District]
-
A.
Kabale District
chosen
Kabale District is an administrative district in southwestern Uganda known for its hilly terrain, cool climate, and proximity to Lake Bunyonyi.
-
B.
Kotido District
Kotido District is an administrative district in northeastern Uganda known for its predominantly pastoralist Karamojong communities and semi-arid landscape.
-
C.
Kalomo District
Kalomo District is an administrative district in southern Zambia known for its agricultural activities and proximity to national parks such as Kafue.
-
D.
Rezina District
Rezina District is an administrative region in eastern Moldova known for its location along the Răut River and its mix of rural communities and historical sites.
-
E.
Buchosa District
Buchosa District is an administrative district located within Tanzania's Mwanza Region, along the southern shores of Lake Victoria.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7cfe24819096e8f4cd496a6fd7 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:01 p.m.