Triple
T12155002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gobir |
E289550
|
entity |
| Predicate | neighboringEntity |
P350
|
FINISHED |
| Object | Zamfara |
E70525
|
NE FINISHED |
How this triple was built (2 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: Zamfara | Statement: [Gobir, neighboringEntity, Zamfara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamfara Context triple: [Gobir, neighboringEntity, Zamfara]
-
A.
Zamfara State
chosen
Zamfara State is a predominantly rural, Muslim-majority state in northwestern Nigeria known for its agriculture, gold deposits, and early adoption of Sharia law.
-
B.
Jigawa State
Jigawa State is a predominantly agricultural state in northern Nigeria known for its rural communities and proximity to the Republic of Niger.
-
C.
Kebbi State
Kebbi State is a landlocked state in northwestern Nigeria known for its agriculture, fishing, and the annual Argungu Fishing Festival.
-
D.
Kano State
Kano State is a populous and economically significant state in northern Nigeria, known for its historic city of Kano and its role as a major commercial and cultural center in the region.
-
E.
Katsina State
Katsina State is a predominantly Hausa-Fulani state in northern Nigeria known for its historic emirate, Islamic scholarship, and agriculture-based economy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f684cc45b48190a388b38ef301c2f8 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:50 p.m.