Triple
T22682900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veitvet |
E560827
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Linderud |
—
|
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: Linderud | Statement: [Veitvet, hasNeighbourhood, Linderud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linderud Context triple: [Veitvet, hasNeighbourhood, Linderud]
-
A.
Linderud
chosen
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
B.
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
C.
Sollerud
Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
-
D.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
E.
Lofsrud
Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
- 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.