Triple
T15751549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andørja |
E381857
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Mjøsund
Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
|
E1274278
|
NE FINISHED |
How this triple was built (4 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: Mjøsund | Statement: [Andørja, hasSettlement, Mjøsund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mjøsund Context triple: [Andørja, hasSettlement, Mjøsund]
-
A.
Fetsund
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.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
C.
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.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mjøsund Triple: [Andørja, hasSettlement, Mjøsund]
Generated description
Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mjøsund Target entity description: Mjøsund is a small coastal settlement in northern Norway, situated on or near the island of Andørja and known for its scenic fjord landscape and maritime setting.
-
A.
Fetsund
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.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
C.
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.
-
D.
Vennesla
Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
-
E.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
- F. None of above. chosen
Provenance (5 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c9260c508190aa83d6bed8b598a6 |
completed | May 11, 2026, 12:18 p.m. |
| NEDg | Description generation | batch_6a01cabea2b48190a690b17a88d45b40 |
completed | May 11, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cefa08f8819086cb86ce22193baa |
completed | May 11, 2026, 12:43 p.m. |
Created at: April 10, 2026, 4:47 a.m.