Triple
T22078407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vika |
E545581
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Aker Brygge |
—
|
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: Aker Brygge | Statement: [Vika, adjacentTo, Aker Brygge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aker Brygge Context triple: [Vika, adjacentTo, Aker Brygge]
-
A.
Aker Brygge
chosen
Aker Brygge is a popular waterfront district in Oslo known for its modern architecture, restaurants, shops, and vibrant harbor promenade.
-
B.
Lyngseidet
Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
-
C.
Union Brygge
Union Brygge is a modern riverside district in Drammen, Norway, known for its cultural venues, contemporary architecture, and urban redevelopment along the Drammen River.
-
D.
Vestre Aker district
Vestre Aker district is a largely affluent, residential borough in the western part of Oslo, Norway, known for its green areas and suburban character.
-
E.
Kalvebod Brygge
Kalvebod Brygge is a waterfront area in central Copenhagen known for its modern architecture, office buildings, and harborside promenades along the inner harbor.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b43df0819090c248ded98fad12 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.