Triple
T22683036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trondheimsveien |
E560831
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Løren area |
—
|
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: Løren area | Statement: [Trondheimsveien, passesThrough, Løren area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Løren area Context triple: [Trondheimsveien, passesThrough, Løren area]
-
A.
Løren
chosen
Løren is a rapidly developing residential and commercial neighborhood in Oslo, Norway, known for its modern housing, new infrastructure, and proximity to central city areas.
-
B.
Groruddalen area
Groruddalen area is a large valley and suburban region in the northeastern part of Oslo, Norway, known for its diverse residential neighborhoods and significant role in the city's urban development.
-
C.
Kleivstua area
The Kleivstua area is a scenic highland viewpoint and recreational spot in Hole, Norway, known for its panoramic views over the surrounding forests, lakes, and hills.
-
D.
Grønlund area
Grønlund area is a residential locality within the municipality of Gjerdrum in Viken county, Norway.
-
E.
Vikdalen area
Vikdalen area is a district in Nacka, Sweden, situated near Kvarnholmen and connected to it by the Kvarnholmen bridge.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.