Triple
T15690382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bømlo Municipality |
E380311
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Foldrøyhamn
Foldrøyhamn is a small coastal village in Bømlo Municipality in Vestland county, western Norway.
|
E1172316
|
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: Foldrøyhamn | Statement: [Bømlo Municipality, hasSettlement, Foldrøyhamn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foldrøyhamn Context triple: [Bømlo Municipality, hasSettlement, Foldrøyhamn]
-
A.
Hamnøy
Hamnøy is a picturesque fishing village and island in Norway’s Lofoten archipelago, renowned for its dramatic mountain scenery and iconic red rorbuer cabins.
-
B.
Finnhamn
Finnhamn is a popular island destination in the Stockholm archipelago known for its natural scenery, guest harbor, and outdoor recreation opportunities.
-
C.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
D.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
E.
Berlevåg
Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
- 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: Foldrøyhamn Triple: [Bømlo Municipality, hasSettlement, Foldrøyhamn]
Generated description
Foldrøyhamn is a small coastal village in Bømlo Municipality in Vestland county, western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foldrøyhamn Target entity description: Foldrøyhamn is a small coastal village in Bømlo Municipality in Vestland county, western Norway.
-
A.
Hamnøy
Hamnøy is a picturesque fishing village and island in Norway’s Lofoten archipelago, renowned for its dramatic mountain scenery and iconic red rorbuer cabins.
-
B.
Finnhamn
Finnhamn is a popular island destination in the Stockholm archipelago known for its natural scenery, guest harbor, and outdoor recreation opportunities.
-
C.
Honningsvåg
Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
-
D.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
E.
Berlevåg
Berlevåg is a small coastal town and municipality in Troms og Finnmark county in northern Norway, known for its fishing industry and exposed location on the Barents Sea.
- 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_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff75e206a88190aace1904746d061f |
completed | May 9, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff765731bc819089c87cfb36628b01 |
completed | May 9, 2026, 6 p.m. |
Created at: April 10, 2026, 4:44 a.m.