Triple
T17087455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjørnafjorden |
E414634
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Storekalsøy
Storekalsøy is an island in Vestland county, Norway, known as part of the coastal archipelago within the Bjørnafjorden area.
|
E1440252
|
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: Storekalsøy | Statement: [Bjørnafjorden, hasIsland, Storekalsøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storekalsøy Context triple: [Bjørnafjorden, hasIsland, Storekalsøy]
-
A.
Karmøy
Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
-
B.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
-
C.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
D.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
-
E.
Vågsøy
Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
- 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: Storekalsøy Triple: [Bjørnafjorden, hasIsland, Storekalsøy]
Generated description
Storekalsøy is an island in Vestland county, Norway, known as part of the coastal archipelago within the Bjørnafjorden area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storekalsøy Target entity description: Storekalsøy is an island in Vestland county, Norway, known as part of the coastal archipelago within the Bjørnafjorden area.
-
A.
Karmøy
Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
-
B.
Rolløya
Rolløya is an island located in Troms county in northern Norway, known for its rugged coastal landscape and Arctic climate.
-
C.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
D.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
-
E.
Vågsøy
Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3cfd1e88190991d9131ed399756 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4a7779481909b5bf6e99e632841 |
completed | May 16, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b57ff3e48190952c973726821e2b |
completed | May 16, 2026, 6:20 p.m. |
Created at: April 10, 2026, 5:35 a.m.