Triple
T21047937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stortorvet |
E518496
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Karl Johans gate |
—
|
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: Karl Johans gate | Statement: [Stortorvet, nearby, Karl Johans gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Johans gate Context triple: [Stortorvet, nearby, Karl Johans gate]
-
A.
Kongens gate
Kongens gate is one of the main historic streets in the central district of Trondheim, Norway, known for its shops, services, and traditional urban architecture.
-
B.
Karl Johans gate, Oslo
chosen
Karl Johans gate, Oslo is the city’s main central boulevard, known for its shops, cafes, and landmarks, and for connecting the Royal Palace with key institutions including the Parliament of Norway.
-
C.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
-
D.
Møllergata
Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
-
E.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf5b01481909db49aa5be3846aa |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:34 p.m.