Triple
T3444787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taraba State |
E72649
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Jalingo |
E338178
|
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: Jalingo | Statement: [Taraba State, capital, Jalingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalingo Context triple: [Taraba State, capital, Jalingo]
-
A.
Jalingo
chosen
Jalingo is the capital and largest city of Taraba State in northeastern Nigeria, serving as an important administrative and commercial center for the region.
-
B.
Dutse
Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
-
C.
Yenagoa
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
D.
Bauchi
Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
-
E.
Kaduna
Kaduna is a major industrial and political center in northern Nigeria, known for its diverse population and role as the capital of Kaduna State.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba2b93dc819094e9cca1a5d9540a |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373a531348190951041705eebba3d |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:16 p.m.