Triple
T1827990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kampala |
E40695
|
entity |
| Predicate | hasHill |
P24292
|
FINISHED |
| Object |
Kibuli Hill
Kibuli Hill is one of the prominent hills in Kampala, Uganda, known for its historic mosque and significant Muslim community institutions.
|
E212932
|
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: Kibuli Hill | Statement: [Kampala, hasHill, Kibuli Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibuli Hill Context triple: [Kampala, hasHill, Kibuli Hill]
-
A.
Rubaga Hill
Rubaga Hill is one of Kampala’s prominent historic hills, known as the seat of the Rubaga Cathedral and a major center of the Catholic Church in Uganda.
-
B.
Kololo Hill
Kololo Hill is an upscale residential and diplomatic neighborhood in Kampala, Uganda, known for its embassies, luxury homes, and city views.
-
C.
Namirembe Hill
Namirembe Hill is a prominent hill in Kampala, Uganda, best known as the historic site of St. Paul's Cathedral, the seat of the Anglican Church in the country.
-
D.
Nakasero Hill
Nakasero Hill is an upscale, central neighborhood in Kampala known for hosting government offices, embassies, luxury hotels, and commercial centers.
-
E.
Mawenzi
Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
- 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: Kibuli Hill Triple: [Kampala, hasHill, Kibuli Hill]
Generated description
Kibuli Hill is one of the prominent hills in Kampala, Uganda, known for its historic mosque and significant Muslim community institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kibuli Hill Target entity description: Kibuli Hill is one of the prominent hills in Kampala, Uganda, known for its historic mosque and significant Muslim community institutions.
-
A.
Rubaga Hill
Rubaga Hill is one of Kampala’s prominent historic hills, known as the seat of the Rubaga Cathedral and a major center of the Catholic Church in Uganda.
-
B.
Kololo Hill
Kololo Hill is an upscale residential and diplomatic neighborhood in Kampala, Uganda, known for its embassies, luxury homes, and city views.
-
C.
Namirembe Hill
Namirembe Hill is a prominent hill in Kampala, Uganda, best known as the historic site of St. Paul's Cathedral, the seat of the Anglican Church in the country.
-
D.
Nakasero Hill
Nakasero Hill is an upscale, central neighborhood in Kampala known for hosting government offices, embassies, luxury hotels, and commercial centers.
-
E.
Mawenzi
Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb01191208190a7eaf3036638ec40 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead6888081909f89704f0c070d68 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adebc28ae88190bd954d9634f08059 |
completed | March 8, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec25a87081908f098df81de6eafb |
completed | March 8, 2026, 9:37 p.m. |
Created at: March 4, 2026, 7:32 p.m.