Triple
T16428031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicukiro District |
E398994
|
entity |
| Predicate | hasSector |
P71
|
FINISHED |
| Object |
Kagarama
Kagarama is an urban sector within Kigali, Rwanda, known for hosting key administrative and residential areas of Kicukiro District.
|
E1213318
|
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: Kagarama | Statement: [Kicukiro District, hasSector, Kagarama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagarama Context triple: [Kicukiro District, hasSector, Kagarama]
-
A.
Shusai
Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
-
B.
Kasugai
Kasugai is a city in Aichi Prefecture, Japan, known as a residential and industrial suburb in the Greater Nagoya metropolitan area.
-
C.
Kantokuen
Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
-
D.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
E.
Ishimbay
Ishimbay is a town in the Republic of Bashkortostan, Russia, known for its oil industry and location in the southern Ural region.
- 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: Kagarama Triple: [Kicukiro District, hasSector, Kagarama]
Generated description
Kagarama is an urban sector within Kigali, Rwanda, known for hosting key administrative and residential areas of Kicukiro District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kagarama Target entity description: Kagarama is an urban sector within Kigali, Rwanda, known for hosting key administrative and residential areas of Kicukiro District.
-
A.
Shusai
Shusai is the courtesy name of Zhang Juzheng, the influential Ming dynasty statesman and reformer who served as Grand Secretary under the Wanli Emperor.
-
B.
Kasugai
Kasugai is a city in Aichi Prefecture, Japan, known as a residential and industrial suburb in the Greater Nagoya metropolitan area.
-
C.
Kantokuen
Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
-
D.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
E.
Ishimbay
Ishimbay is a town in the Republic of Bashkortostan, Russia, known for its oil industry and location in the southern Ural region.
- 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_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a0046ce23948190a2207e5e27493dac |
completed | May 10, 2026, 8:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a004767d1c88190814e83f09383e874 |
completed | May 10, 2026, 8:52 a.m. |
Created at: April 10, 2026, 5:09 a.m.