Triple
T6297048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anambra State |
E141155
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Awka |
E321195
|
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: Awka | Statement: [Anambra State, capital, Awka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awka Context triple: [Anambra State, capital, Awka]
-
A.
Awka
chosen
Awka is the capital city of Anambra State in southeastern Nigeria, known as a historic center of blacksmithing and regional commerce.
-
B.
Akwanga
Akwanga is a town and administrative center in central Nigeria known for its role as a commercial and educational hub in Nasarawa State.
-
C.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
D.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
E.
Wele-Nzas
Wele-Nzas is a province in mainland Equatorial Guinea known for its forests, border location near Gabon and Cameroon, and the city of Mongomo.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643bd0748190af7abbebb6f94242 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51993b8ec8190a0813d66851ac201 |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.