Triple
T7508122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hvaler archipelago |
E177444
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Vesterøy
Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
|
E670529
|
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: Vesterøy | Statement: [Hvaler archipelago, hasIsland, Vesterøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vesterøy Context triple: [Hvaler archipelago, hasIsland, Vesterøy]
-
A.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
-
B.
Vestvågøy
Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
-
C.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
D.
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.
-
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: Vesterøy Triple: [Hvaler archipelago, hasIsland, Vesterøy]
Generated description
Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vesterøy Target entity description: Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
-
A.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
-
B.
Vestvågøy
Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
-
C.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
D.
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.
-
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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8460be99881909cada82cf7563421 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c84765ee64819082d3189c8a768455 |
completed | March 28, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84828b2c48190a70f3bcd9e7554cc |
completed | March 28, 2026, 9:29 p.m. |
Created at: March 27, 2026, 3:45 p.m.