Triple
T2965466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesterålen |
E80150
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Hadseløya
Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
|
E330810
|
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: Hadseløya | Statement: [Vesterålen, hasIsland, Hadseløya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadseløya Context triple: [Vesterålen, hasIsland, Hadseløya]
-
A.
Barøya
Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
-
B.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
C.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
D.
Bleikøya
Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
-
E.
Jeløya
Jeløya is a large island off the coast of southeastern Norway, known for its scenic landscapes, coastal trails, and proximity to the town of Moss.
- 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: Hadseløya Triple: [Vesterålen, hasIsland, Hadseløya]
Generated description
Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadseløya Target entity description: Hadseløya is a scenic Norwegian island in Nordland county, known for its rugged coastal landscape and its location within the Vesterålen archipelago.
-
A.
Barøya
Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
-
B.
Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
-
C.
Flakstadøya
Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
-
D.
Bleikøya
Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
-
E.
Jeløya
Jeløya is a large island off the coast of southeastern Norway, known for its scenic landscapes, coastal trails, and proximity to the town of Moss.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad995a28e88190a4d6b9ef2c0d8e61 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224ad6c30819086a9df7fc7c51ed8 |
completed | March 12, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_69b2254ac6d88190b40c7c5b5a0f4eba |
completed | March 12, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225c6c2d88190adb381023e0c3219 |
completed | March 12, 2026, 2:32 a.m. |
Created at: March 8, 2026, 2:58 p.m.