Triple
T13981862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Uganda |
E336328
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object |
Bakiga
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
|
E1074130
|
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: Bakiga | Statement: [Southwestern Uganda, majorEthnicGroup, Bakiga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakiga Context triple: [Southwestern Uganda, majorEthnicGroup, Bakiga]
-
A.
Bako
Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
-
B.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
C.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
D.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- 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: Bakiga Triple: [Southwestern Uganda, majorEthnicGroup, Bakiga]
Generated description
The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakiga Target entity description: The Bakiga are a Bantu-speaking ethnic group known for their terraced farming, hilly homeland in southwestern Uganda, and rich traditions of dance and communal labor.
-
A.
Bako
Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
-
B.
Bakish
Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
-
C.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
D.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9231888190ad8cb460db73bdb4 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbaf8dc2088190bd69f760ff15c03d |
completed | May 6, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb01071408190a85e5e9be0150593 |
completed | May 6, 2026, 9:18 p.m. |
Created at: April 9, 2026, 10:18 p.m.