Triple
T6592395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinsen |
E148392
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object | Sinsen roundabout |
E599686
|
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: Sinsen roundabout | Statement: [Sinsen, hasStructure, Sinsen roundabout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinsen roundabout Context triple: [Sinsen, hasStructure, Sinsen roundabout]
-
A.
Sinsen Interchange
chosen
Sinsen Interchange is a major multi-level road junction in Oslo, Norway, serving as a key traffic hub connecting several important highways and city routes.
-
B.
Slussen
Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
-
C.
Lillestrøm junction
Lillestrøm junction is a major Norwegian railway interchange where multiple lines converge near the town of Lillestrøm, serving as an important hub in the Oslo region rail network.
-
D.
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.
-
E.
Kungsportsavenyen
Kungsportsavenyen is a major boulevard and central thoroughfare in Gothenburg, Sweden, known for its shops, restaurants, and cultural venues.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aece1f848190a11676e072afb002 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d57bde388190919ff6820e1b9610 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:55 p.m.