Triple
T23543926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vækerø |
E577834
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Bydel Ullern |
—
|
NE NERFINISHED |
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: Bydel Ullern | Statement: [Vækerø, partOf, Bydel Ullern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bydel Ullern Context triple: [Vækerø, partOf, Bydel Ullern]
-
A.
Bydel Ullern
chosen
Bydel Ullern is a borough in the western part of Oslo, Norway, known for its residential areas, green spaces, and proximity to the Oslofjord.
-
B.
Ullensaker
Ullensaker is a municipality in Viken county, Norway, best known for hosting Oslo Airport, Gardermoen, the country’s main international airport.
-
C.
Sagene district
Sagene district is a central borough of Oslo, Norway, known for its historic industrial areas, riverside parks, and vibrant urban neighborhoods.
-
D.
Nore og Uvdal
Nore og Uvdal is a mountainous rural municipality in southern Norway known for its vast natural landscapes, outdoor recreation, and traditional cultural heritage.
-
E.
Stovner district
Stovner district is a residential borough in the northeastern part of Oslo, Norway, known for its diverse population and large housing estates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1dbe188190bc4afe7bfa7cda0f |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:11 p.m.