Triple
T10176593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouahigouya |
E235867
|
entity |
| Predicate | regionalCapitalOf |
P16248
|
FINISHED |
| Object | Nord Region |
E846267
|
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: Nord Region | Statement: [Ouahigouya, regionalCapitalOf, Nord Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord Region Context triple: [Ouahigouya, regionalCapitalOf, Nord Region]
-
A.
Nord Region
chosen
Nord Region is an administrative region in northern Burkina Faso known for its semi-arid Sahelian climate and the city of Ouahigouya as a major urban center.
-
B.
Østlandet
Østlandet is the most populous region of southeastern Norway, encompassing the capital city Oslo and surrounding inland and coastal areas.
-
C.
Vestlandet
Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
-
D.
Jutland region
The Jutland region is the large continental part of Denmark that forms the peninsula shared with northern Germany, characterized by its varied coastline, rural landscapes, and key transport corridors.
-
E.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd3a2688190bce277bffffcbf8b |
completed | April 2, 2026, 4:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31792490c819088c89444f75cdbc9 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:11 p.m.