Triple
T15529175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alver Municipality |
E370164
|
entity |
| Predicate | includesIsland |
P970
|
FINISHED |
| Object |
Holsnøy
Holsnøy is a large island in Vestland county, Norway, known for its rugged coastal landscape and proximity to the city of Bergen.
|
E1329219
|
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: Holsnøy | Statement: [Alver Municipality, includesIsland, Holsnøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holsnøy Context triple: [Alver Municipality, includesIsland, Holsnøy]
-
A.
Hamarøy
Hamarøy is a coastal municipality in Nordland county, Norway, known for its dramatic fjord and mountain landscapes and its association with author Knut Hamsun.
-
B.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
C.
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.
-
D.
Bjorøy
Bjorøy is a small Norwegian island known for its coastal landscape and residential community in Vestland county.
-
E.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
- 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: Holsnøy Triple: [Alver Municipality, includesIsland, Holsnøy]
Generated description
Holsnøy is a large island in Vestland county, Norway, known for its rugged coastal landscape and proximity to the city of Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holsnøy Target entity description: Holsnøy is a large island in Vestland county, Norway, known for its rugged coastal landscape and proximity to the city of Bergen.
-
A.
Hamarøy
Hamarøy is a coastal municipality in Nordland county, Norway, known for its dramatic fjord and mountain landscapes and its association with author Knut Hamsun.
-
B.
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
C.
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.
-
D.
Bjorøy
Bjorøy is a small Norwegian island known for its coastal landscape and residential community in Vestland county.
-
E.
Skjervøy
Skjervøy is a coastal fishing town and island community in northern Norway, known for its Arctic scenery and rich marine life.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0491547b9081909876f88fe6a58ee7 |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a04922aa908819093d00f57fdb00627 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04933727488190b7a04789a17a16a0 |
completed | May 13, 2026, 3:05 p.m. |
Created at: April 10, 2026, 4:05 a.m.