Triple
T20114251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strømsø |
E490412
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Strømsø square |
—
|
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: Strømsø square | Statement: [Strømsø, contains, Strømsø square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strømsø square Context triple: [Strømsø, contains, Strømsø square]
-
A.
Strømsø Torg
chosen
Strømsø Torg is a central public square and transport hub in the Strømsø district of Drammen, Norway.
-
B.
Christianshavn Square
Christianshavn Square is a central public square and transport hub in Copenhagen’s Christianshavn district, known for its historic surroundings and canalside location.
-
C.
Jernbanetorget square
Jernbanetorget square is a major public square and central transport hub in downtown Oslo, serving as a key meeting point and gateway to the city.
-
D.
Rådhusplassen
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.
-
E.
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.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.