Triple
T6630660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aker Brygge |
E149914
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Rådhusplassen |
E143889
|
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: Rådhusplassen | Statement: [Aker Brygge, adjacentTo, Rådhusplassen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rådhusplassen Context triple: [Aker Brygge, adjacentTo, Rådhusplassen]
-
A.
Rådhusplassen
chosen
Rådhusplassen is the central square and waterfront plaza in front of Oslo City Hall, known as a major public space and event venue in Norway’s capital.
-
B.
Stortorget
Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
-
C.
Stortorvet
Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
-
D.
Jernbanetorget square
Jernbanetorget square is a major public square and central transport hub in downtown Oslo, serving as a key meeting point and gateway to the city.
-
E.
Tøyen Torg
Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa5c9b48190b645be96d446d0ca |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbeef9f48190aea2e97a1f8735ee |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.