Triple
T13804643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Region of Uganda |
E331727
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Iganga
Iganga is a town in southeastern Uganda that serves as a commercial and transport hub along the main highway between Kampala and the eastern border with Kenya.
|
E1061855
|
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: Iganga | Statement: [Eastern Region of Uganda, hasUrbanCenter, Iganga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iganga Context triple: [Eastern Region of Uganda, hasUrbanCenter, Iganga]
-
A.
Kiryandongo
Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
-
B.
Namanga
Namanga is a small border town between Kenya and Tanzania that serves as a key gateway for tourists traveling to Amboseli National Park.
-
C.
Gokwe
Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
-
D.
Monguno
Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
-
E.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
- 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: Iganga Triple: [Eastern Region of Uganda, hasUrbanCenter, Iganga]
Generated description
Iganga is a town in southeastern Uganda that serves as a commercial and transport hub along the main highway between Kampala and the eastern border with Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iganga Target entity description: Iganga is a town in southeastern Uganda that serves as a commercial and transport hub along the main highway between Kampala and the eastern border with Kenya.
-
A.
Kiryandongo
Kiryandongo is a town in western Uganda that serves as the administrative and commercial center of Kiryandongo District.
-
B.
Namanga
Namanga is a small border town between Kenya and Tanzania that serves as a key gateway for tourists traveling to Amboseli National Park.
-
C.
Gokwe
Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
-
D.
Monguno
Monguno is a town and local government area in Borno State, northeastern Nigeria, known for its strategic location and role in regional security dynamics.
-
E.
Kisoro
Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b18bbe688190855a26b8f2b4bcc0 |
completed | May 3, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b260fc6c8190a573cc525388878e |
completed | May 3, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:12 p.m.