Triple
T22561252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bispevika |
E557818
|
entity |
| Predicate | locatedBy |
P2409
|
FINISHED |
| Object | Oslo inner harbor |
—
|
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: Oslo inner harbor | Statement: [Bispevika, locatedBy, Oslo inner harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslo inner harbor Context triple: [Bispevika, locatedBy, Oslo inner harbor]
-
A.
Oslofjord waterfront
chosen
The Oslofjord waterfront is a scenic coastal area in Oslo known for its harbors, promenades, and views of the surrounding fjord landscape.
-
B.
Aker Brygge
Aker Brygge is a popular waterfront district in Oslo known for its modern architecture, restaurants, shops, and vibrant harbor promenade.
-
C.
Marienlyst, Oslo
Marienlyst, Oslo is a neighborhood in Norway’s capital city best known as the long-time home of the Norwegian Broadcasting Corporation’s main facilities.
-
D.
Majorstuen, Oslo
Majorstuen is a central neighborhood in Oslo, Norway, known for its busy transport hub, shopping streets, and cultural institutions.
-
E.
Stavanger harbor
Stavanger harbor is a central Norwegian port area known for its maritime activity, cruise ship traffic, and role as a gateway to the North Sea oil industry and nearby fjords.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa5f4008190921095b7aff4f4e2 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.