Triple
T22682935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Refstad |
E560828
|
entity |
| Predicate | hasNeighbouringArea |
P17964
|
FINISHED |
| Object | Årvoll |
—
|
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: Årvoll | Statement: [Refstad, hasNeighbouringArea, Årvoll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årvoll Context triple: [Refstad, hasNeighbouringArea, Årvoll]
-
A.
Årvoll
chosen
Årvoll is a residential neighborhood in Oslo, Norway, known for its proximity to Lillomarka forest and a mix of apartment blocks and low-rise housing.
-
B.
Åros
Åros is a small village in the former Røyken municipality in Viken county, Norway, known for its coastal setting along the Oslofjord.
-
C.
Åraksbø
Åraksbø is a small village in southern Norway located within the municipality of Bygland in Agder county.
-
D.
Røssvoll
Røssvoll is a small village in Nordland county, Norway, known for its local airport serving the Rana region.
-
E.
Årdal
Årdal is a municipality in Vestland county, Norway, known for its dramatic fjord landscape, hydroelectric power production, and aluminum industry.
- 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.