Triple
T23030096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogstadveien |
E573433
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | street in Oslo |
C16019
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: street in Oslo Context triple: [Bogstadveien, instanceOf, street in Oslo]
-
A.
neighborhood of Oslo
A neighborhood of Oslo is a distinct, localized area within the city characterized by its own residential patterns, amenities, cultural features, and community identity while remaining integrated into the broader urban structure of Oslo.
-
B.
road in Norway
chosen
A road in Norway is a transportation route that traverses the country’s varied landscapes—fjords, mountains, forests, and coasts—connecting settlements and facilitating travel under often challenging weather and terrain conditions.
-
C.
street in Lyon
A street in Lyon is a public urban thoroughfare within the city of Lyon, France, typically lined with buildings, shops, and residences, and serving as a conduit for pedestrian and vehicular movement as well as local social and commercial activity.
-
D.
street in Lisbon
A street in Lisbon is a public urban thoroughfare, often narrow and winding, lined with historic buildings, tiled facades, and calçada portuguesa pavements that connect neighborhoods and support pedestrian and vehicular movement.
-
E.
street in Seoul
A street in Seoul is a public urban thoroughfare lined with a dense mix of shops, cafes, high-rise buildings, and cultural landmarks, often bustling with pedestrians, traffic, and vibrant city life.
- F. None of above.
Provenance (1 batch)
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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 3:53 p.m.