Triple
T22654712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vestbanen, Oslo |
E559193
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rådhusplassen |
—
|
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: Rådhusplassen | Statement: [Vestbanen, Oslo, locatedNear, Rådhusplassen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rådhusplassen Context triple: [Vestbanen, Oslo, locatedNear, Rådhusplassen]
-
A.
Rådhusplassen
chosen
Rådhusplassen is the central square and waterfront plaza in front of Oslo City Hall, known as a major public space and event venue in Norway’s capital.
-
B.
Rådhuspladsen
Rådhuspladsen is a central public square in Copenhagen, Denmark, known as a major transport hub and gathering place in front of the city hall.
-
C.
Stortorget
Stortorget is the historic main square in central Malmö, Sweden, known for its surrounding notable buildings and role as a key public gathering place.
-
D.
Stortorget
Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
-
E.
Stortorvet
Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765a97ac819095f21ccbdada1d0a |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.