Triple
T15302615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvinnherad |
E365824
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Tysnesøy (partial)
Tysnesøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and traditional coastal communities.
|
E1147735
|
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: Tysnesøy (partial) | Statement: [Kvinnherad, containsIsland, Tysnesøy (partial)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tysnesøy (partial) Context triple: [Kvinnherad, containsIsland, Tysnesøy (partial)]
-
A.
Tynset
Tynset is a rural municipality in Innlandet county, Norway, known for its vast mountain landscapes, agriculture, and role as a regional service center in the Østerdalen valley.
-
B.
Ivarsøy
Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
-
C.
Lysnes
Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
-
D.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
E.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
- 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: Tysnesøy (partial) Triple: [Kvinnherad, containsIsland, Tysnesøy (partial)]
Generated description
Tysnesøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and traditional coastal communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tysnesøy (partial) Target entity description: Tysnesøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and traditional coastal communities.
-
A.
Tynset
Tynset is a rural municipality in Innlandet county, Norway, known for its vast mountain landscapes, agriculture, and role as a regional service center in the Østerdalen valley.
-
B.
Ivarsøy
Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
-
C.
Lysnes
Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
-
D.
Gimsøy
Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
-
E.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccd575c8190aa43262d3b73ef3c |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef86b8cc81909969098b1766f6b7 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69feeff83f3c8190b9ae0f7ce724b3e2 |
completed | May 9, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef0825e7c8190bb74e2e3de202883 |
completed | May 9, 2026, 8:29 a.m. |
Created at: April 10, 2026, 3:15 a.m.