Triple
T2965473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesterålen |
E80150
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Øksnes
Øksnes is a coastal municipality in Nordland county, Norway, known for its fishing communities and location within the Vesterålen archipelago.
|
E340039
|
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: Øksnes | Statement: [Vesterålen, hasMunicipality, Øksnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Øksnes Context triple: [Vesterålen, hasMunicipality, Øksnes]
-
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.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
C.
Nøtterøy
Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
-
D.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
-
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: Øksnes Triple: [Vesterålen, hasMunicipality, Øksnes]
Generated description
Øksnes is a coastal municipality in Nordland county, Norway, known for its fishing communities and location within the Vesterålen archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Øksnes Target entity description: Øksnes is a coastal municipality in Nordland county, Norway, known for its fishing communities and location within the Vesterålen archipelago.
-
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.
Finnøy
Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
-
C.
Nøtterøy
Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
-
D.
Svolvær
Svolvær is a coastal town in northern Norway that serves as a key fishing, tourism, and transport hub in the Lofoten archipelago.
-
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_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_69b276cc19b48190a952015c9e501dd6 |
completed | March 12, 2026, 8:18 a.m. |
| NEDg | Description generation | batch_69b277a9ab548190a8b9822db2db3d0d |
completed | March 12, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27b88c9648190a4a8271452d8ed3e |
completed | March 12, 2026, 8:38 a.m. |
Created at: March 8, 2026, 2:58 p.m.