Triple
T16428033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicukiro District |
E398994
|
entity |
| Predicate | hasSector |
P71
|
FINISHED |
| Object |
Kigarama
Kigarama is a sector within Kigali’s Kicukiro District in Rwanda, known as a local administrative and residential area of the capital city.
|
E1216039
|
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: Kigarama | Statement: [Kicukiro District, hasSector, Kigarama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kigarama Context triple: [Kicukiro District, hasSector, Kigarama]
-
A.
Oshikango
Oshikango is a border town in northern Namibia that serves as a key commercial and transport hub between Namibia and Angola.
-
B.
Mitoyo
Mitoyo is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its scenic Seto Inland Sea views and rural landscapes.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
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.
Kiga
Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
- 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: Kigarama Triple: [Kicukiro District, hasSector, Kigarama]
Generated description
Kigarama is a sector within Kigali’s Kicukiro District in Rwanda, known as a local administrative and residential area of the capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kigarama Target entity description: Kigarama is a sector within Kigali’s Kicukiro District in Rwanda, known as a local administrative and residential area of the capital city.
-
A.
Oshikango
Oshikango is a border town in northern Namibia that serves as a key commercial and transport hub between Namibia and Angola.
-
B.
Mitoyo
Mitoyo is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its scenic Seto Inland Sea views and rural landscapes.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
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.
Kiga
Kiga is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda, near the Great Lakes region of East Africa.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fc223c8190bbed29907351a6f6 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058143cb88190943b951cc8e47a66 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058a1c51c81908f49db448a4d0365 |
completed | May 10, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00595837c4819093f1a1a35185bc4b |
completed | May 10, 2026, 10:09 a.m. |
Created at: April 10, 2026, 5:09 a.m.