Triple
T15690364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bømlo Municipality |
E380311
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Otterøya
Otterøya is an island located within Bømlo Municipality in Vestland county on Norway’s western coast.
|
E1381714
|
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: Otterøya | Statement: [Bømlo Municipality, hasIsland, Otterøya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otterøya Context triple: [Bømlo Municipality, hasIsland, Otterøya]
-
A.
Otrøya
Otrøya is a large island in Møre og Romsdal county, Norway, known for its coastal landscapes and rural communities.
-
B.
Edgeøya
Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
-
C.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
D.
Magerøya
Magerøya is a remote Norwegian island in the Arctic Ocean, best known as the location of the North Cape, a popular tourist destination often considered the northernmost point of mainland Europe accessible by road.
-
E.
Midøya
Midøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location between the mainland and the Atlantic.
- 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: Otterøya Triple: [Bømlo Municipality, hasIsland, Otterøya]
Generated description
Otterøya is an island located within Bømlo Municipality in Vestland county on Norway’s western coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otterøya Target entity description: Otterøya is an island located within Bømlo Municipality in Vestland county on Norway’s western coast.
-
A.
Otrøya
Otrøya is a large island in Møre og Romsdal county, Norway, known for its coastal landscapes and rural communities.
-
B.
Edgeøya
Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
-
C.
Ytterøya
Ytterøya is an island in Trøndelag county, central Norway, known for its rural landscape and location within the Trondheimsfjord.
-
D.
Magerøya
Magerøya is a remote Norwegian island in the Arctic Ocean, best known as the location of the North Cape, a popular tourist destination often considered the northernmost point of mainland Europe accessible by road.
-
E.
Midøya
Midøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location between the mainland and the Atlantic.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e5e9fb88190aab63e3d3318b63b |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f4f3c008190b6483a994b2309cd |
completed | May 15, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a075019f0b48190ae2469b1979e6cce |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 4:44 a.m.