Triple
T13077601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soroti |
E329617
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object |
Mbale
Mbale is a major town in eastern Uganda, known as a commercial and administrative center near the slopes of Mount Elgon.
|
E1020030
|
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: Mbale | Statement: [Soroti, roadConnectionTo, Mbale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbale Context triple: [Soroti, roadConnectionTo, Mbale]
-
A.
Kasese
Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
-
B.
Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
-
C.
Lyantonde
Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
-
D.
Luweero District
Luweero District is an administrative district in Uganda known for its role as a key battleground area during the Ugandan Bush War in the 1980s.
-
E.
Mpigi District
Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
- 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: Mbale Triple: [Soroti, roadConnectionTo, Mbale]
Generated description
Mbale is a major town in eastern Uganda, known as a commercial and administrative center near the slopes of Mount Elgon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mbale Target entity description: Mbale is a major town in eastern Uganda, known as a commercial and administrative center near the slopes of Mount Elgon.
-
A.
Kasese
Kasese is a town in western Uganda that serves as a key gateway to Queen Elizabeth National Park and the Rwenzori Mountains.
-
B.
Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
-
C.
Lyantonde
Lyantonde is a town and district in central Uganda, situated within the traditional kingdom region of Buganda.
-
D.
Luweero District
Luweero District is an administrative district in Uganda known for its role as a key battleground area during the Ugandan Bush War in the 1980s.
-
E.
Mpigi District
Mpigi District is an administrative district in central Uganda known for its agricultural activities and proximity to the capital, Kampala.
- 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_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_69f6d60aaac48190b5b724a19cad5279 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6da9ed7bc8190b1a451ea2ada811d |
completed | May 3, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6db6950b08190a868c9371ff0a34e |
completed | May 3, 2026, 5:21 a.m. |
Created at: April 9, 2026, 9:01 p.m.