Triple
T13328486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillestrøm region |
E317503
|
entity |
| Predicate | hasPopulationCenter |
P2106
|
FINISHED |
| Object | Fetsund |
E481801
|
NE FINISHED |
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: Fetsund | Statement: [Lillestrøm region, hasPopulationCenter, Fetsund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fetsund Context triple: [Lillestrøm region, hasPopulationCenter, Fetsund]
-
A.
Fetsund
chosen
Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
-
B.
Vikersund
Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
-
C.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
D.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
E.
Fosnavåg
Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992e4f908190a6f172bf910cffb8 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6419a3c8190bfaeab65f3909474 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 9:30 p.m.