Triple
T3142014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth National Park |
E65671
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object |
Rubirizi
Rubirizi is a district in western Uganda known as a gateway to Queen Elizabeth National Park and its surrounding crater lakes and wildlife areas.
|
E332975
|
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: Rubirizi | Statement: [Queen Elizabeth National Park, nearCity, Rubirizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubirizi Context triple: [Queen Elizabeth National Park, nearCity, Rubirizi]
-
A.
Gwanda
Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
-
B.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
Bushenyi
Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
-
D.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
E.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
- 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: Rubirizi Triple: [Queen Elizabeth National Park, nearCity, Rubirizi]
Generated description
Rubirizi is a district in western Uganda known as a gateway to Queen Elizabeth National Park and its surrounding crater lakes and wildlife areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rubirizi Target entity description: Rubirizi is a district in western Uganda known as a gateway to Queen Elizabeth National Park and its surrounding crater lakes and wildlife areas.
-
A.
Gwanda
Gwanda is a small Zimbabwean town that serves as an administrative and commercial hub in the country’s arid south, known historically for cattle ranching and gold mining.
-
B.
Runyankole
Runyankole is a Bantu language spoken primarily by the Banyankole people in southwestern Uganda.
-
C.
Bushenyi
Bushenyi is a town in western Uganda that serves as a regional hub and gateway to nearby attractions such as Queen Elizabeth National Park.
-
D.
Chinhoyi
Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
-
E.
Nyazura
Nyazura is a small town in eastern Zimbabwe situated along the main road and railway linking Harare and Mutare.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada579b07c8190a7b316f499911a2d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235b6685c8190b88501d7b2ad0d25 |
completed | March 12, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69b2365f20dc819081b8d2beccc31c19 |
completed | March 12, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 8, 2026, 3:05 p.m.