Triple
T21742259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SE121 Uppsala län |
E536686
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | NUTS 2 region SE12 Östra Mellansverige |
—
|
NE NERFINISHED |
How this triple was built (3 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: NUTS 2 region SE12 Östra Mellansverige | Statement: [SE121 Uppsala län, partOf, NUTS 2 region SE12 Östra Mellansverige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUTS 2 region SE12 Östra Mellansverige Context triple: [SE121 Uppsala län, partOf, NUTS 2 region SE12 Östra Mellansverige]
-
A.
NUTS region SE125 (Örebro County)
NUTS region SE125 (Örebro County) is a statistical region in central Sweden corresponding to Örebro County, used for European Union regional analysis and funding allocation.
-
B.
European Union NUTS region SE224 (Skåne län)
European Union NUTS region SE224 (Skåne län) is a statistical region in southern Sweden corresponding to Skåne County, used by the EU for regional analysis and funding allocation.
-
C.
NUTS2 region Northern and Eastern Finland
NUTS2 region Northern and Eastern Finland is a European Union statistical region in Finland that encompasses several sparsely populated northern and eastern areas, including Kainuu, for regional planning and funding purposes.
-
D.
southeastern Sweden
Southeastern Sweden is a region of Sweden along the Baltic Sea coast known for its archipelagos, coastal towns, and mixed rural and urban landscapes.
-
E.
NUTS 2 region South Holland
NUTS 2 region South Holland is a densely populated and economically significant province-level region in the western Netherlands that includes major urban and agricultural areas such as The Hague, Rotterdam, and surrounding municipalities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NUTS 2 region SE12 Östra Mellansverige Target entity description: NUTS 2 region SE12 Östra Mellansverige is a Swedish statistical region in eastern central Sweden used by the European Union for regional analysis and funding allocation.
-
A.
NUTS region SE125 (Örebro County)
NUTS region SE125 (Örebro County) is a statistical region in central Sweden corresponding to Örebro County, used for European Union regional analysis and funding allocation.
-
B.
European Union NUTS region SE224 (Skåne län)
European Union NUTS region SE224 (Skåne län) is a statistical region in southern Sweden corresponding to Skåne County, used by the EU for regional analysis and funding allocation.
-
C.
NUTS2 region Northern and Eastern Finland
NUTS2 region Northern and Eastern Finland is a European Union statistical region in Finland that encompasses several sparsely populated northern and eastern areas, including Kainuu, for regional planning and funding purposes.
-
D.
southeastern Sweden
Southeastern Sweden is a region of Sweden along the Baltic Sea coast known for its archipelagos, coastal towns, and mixed rural and urban landscapes.
-
E.
NUTS 2 region South Holland
NUTS 2 region South Holland is a densely populated and economically significant province-level region in the western Netherlands that includes major urban and agricultural areas such as The Hague, Rotterdam, and surrounding municipalities.
- F. None of above. chosen
Provenance (2 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.