Triple
T6393725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rådhusplassen |
E143889
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Aker Brygge |
E149914
|
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: Aker Brygge | Statement: [Rådhusplassen, near, Aker Brygge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aker Brygge Context triple: [Rådhusplassen, near, 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.
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.
-
D.
Frogner district
Frogner district is an affluent central borough of Oslo, Norway, known for its historic architecture, embassies, and the famous Frogner Park with the Vigeland sculpture installation.
-
E.
Blindern
Blindern is the main campus area of the University of Oslo, known for housing several of its key faculties and academic buildings.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb0a0bc819098a5a753d0be52a1 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:34 p.m.