Triple
T14037666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Mbundu |
E337754
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Luanda Province |
E337756
|
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: Luanda Province | Statement: [North Mbundu, region, Luanda Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luanda Province Context triple: [North Mbundu, region, Luanda Province]
-
A.
Luanda Province
chosen
Luanda Province is a coastal region of Angola that includes the nation’s capital city, Luanda, and serves as a major political, economic, and cultural center.
-
B.
Kinshasa Province
Kinshasa Province is the administrative region encompassing the city of Kinshasa, the capital and largest urban center of the Democratic Republic of the Congo.
-
C.
Moyen-Ogooué Province
Moyen-Ogooué Province is an inland region of west-central Gabon known for its location along the Ogooué River and its capital, Lambaréné.
-
D.
Haut-Ogooué Province
Haut-Ogooué Province is a resource-rich administrative region in southeastern Gabon known for its mining industry and diverse ethnic communities.
-
E.
Ogooué-Maritime Province
Ogooué-Maritime Province is a coastal region in western Gabon known for its Atlantic shoreline, rich biodiversity, and inclusion of protected areas such as Loango National Park.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192ee1ac81908663ebd2e06784f1 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:20 p.m.