Triple
T13965035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaduna South Local Government Area |
E335900
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Makera
Makera is a town in Kaduna State, Nigeria, serving as the administrative center of the Kaduna South Local Government Area.
|
E1072571
|
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: Makera | Statement: [Kaduna South Local Government Area, hasCapital, Makera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makera Context triple: [Kaduna South Local Government Area, hasCapital, Makera]
-
A.
Makoma
"Makoma" is a popular Afrobeats and highlife-influenced song by Ghanaian music duo R2Bees.
-
B.
Madekwe
Madekwe is a surname most notably associated with English actor Archie Madekwe, known for his roles in film and television.
-
C.
Makye
"Makye" is the debut studio album by Ghanaian rapper Sarkodie, widely credited with helping to popularize his career and modern hiplife music.
-
D.
Mekè
Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
- 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: Makera Triple: [Kaduna South Local Government Area, hasCapital, Makera]
Generated description
Makera is a town in Kaduna State, Nigeria, serving as the administrative center of the Kaduna South Local Government Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makera Target entity description: Makera is a town in Kaduna State, Nigeria, serving as the administrative center of the Kaduna South Local Government Area.
-
A.
Makoma
"Makoma" is a popular Afrobeats and highlife-influenced song by Ghanaian music duo R2Bees.
-
B.
Madekwe
Madekwe is a surname most notably associated with English actor Archie Madekwe, known for his roles in film and television.
-
C.
Makye
"Makye" is the debut studio album by Ghanaian rapper Sarkodie, widely credited with helping to popularize his career and modern hiplife music.
-
D.
Mekè
Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d890d48190affd194b2439c271 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba7149cf08190942cc9b1f7f208f0 |
completed | May 6, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8fe11c881908662d8e8e1720ea4 |
completed | May 6, 2026, 8:47 p.m. |
Created at: April 9, 2026, 10:18 p.m.