Triple
T480411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Nigeria |
E9154
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Zaria
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
|
E65252
|
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: Zaria | Statement: [Northern Nigeria, hasMajorCity, Zaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaria Context triple: [Northern Nigeria, hasMajorCity, Zaria]
-
A.
Kano
Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
-
B.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
C.
Diriyah
Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
-
D.
Charsadda
Charsadda is a historic city in northwestern Pakistan known for its ancient Gandharan heritage and agricultural significance.
-
E.
Omdurman
Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital 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: Zaria Triple: [Northern Nigeria, hasMajorCity, Zaria]
Generated description
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zaria Target entity description: Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
-
A.
Kano
Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
-
B.
Badr City
Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
-
C.
Diriyah
Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
-
D.
Charsadda
Charsadda is a historic city in northwestern Pakistan known for its ancient Gandharan heritage and agricultural significance.
-
E.
Omdurman
Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1982f48190b7d7300f0ab9c637 |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4ac032ef4819094b9ce7740262eda |
completed | March 1, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ada4ca5481909bbd62b55f10f4f9 |
completed | March 1, 2026, 9:20 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.