Triple
T12154003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bwari Area Council |
E289528
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kagini
Kagini is a suburban community located within the Bwari Area Council of Nigeria’s Federal Capital Territory, near Abuja.
|
E967007
|
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: Kagini | Statement: [Bwari Area Council, contains, Kagini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagini Context triple: [Bwari Area Council, contains, Kagini]
-
A.
El Kabong
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
-
B.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
C.
Hoanya
Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
-
D.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
-
E.
Gutan
Gutan is the popular nickname of Tromsø IL, a Norwegian football club based in the city of Tromsø.
- 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: Kagini Triple: [Bwari Area Council, contains, Kagini]
Generated description
Kagini is a suburban community located within the Bwari Area Council of Nigeria’s Federal Capital Territory, near Abuja.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kagini Target entity description: Kagini is a suburban community located within the Bwari Area Council of Nigeria’s Federal Capital Territory, near Abuja.
-
A.
El Kabong
El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
-
B.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
-
C.
Hoanya
Hoanya is the self-designated name of an indigenous Taiwanese group historically associated with the now-extinct Hoanya language.
-
D.
Jagjaguwar
Jagjaguwar is an American independent record label known for releasing critically acclaimed indie and experimental music, including albums by Bon Iver.
-
E.
Gutan
Gutan is the popular nickname of Tromsø IL, a Norwegian football club based in the city of Tromsø.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915bf615c8190ad5f8ae8665678dc |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f601e0777081909e1212436680a10d |
completed | May 2, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f602a21f948190849839301f49d55a |
completed | May 2, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.