Triple
T18326841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fetsund Lenser |
E439031
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Øyeren |
—
|
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: Øyeren | Statement: [Fetsund Lenser, locatedNear, Øyeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øyeren Context triple: [Fetsund Lenser, locatedNear, Øyeren]
-
A.
Øyeren
chosen
Øyeren is a large lake in southeastern Norway, known for its rich birdlife and role as a major reservoir along the Glomma river system.
-
B.
Øye
Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
-
C.
Onsøy
Onsøy is a former municipality and coastal district that now forms part of the city and municipality of Fredrikstad in Viken county, Norway.
-
D.
Osøyro
Osøyro is the administrative and commercial center of Bjørnafjorden Municipality in Vestland county, Norway.
-
E.
Dyrøya
Dyrøya is an island located in the Troms region of northern Norway, known for its rugged coastal landscape and small rural communities.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.