Triple
T10373922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss municipality |
E244452
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Dillingøy
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
|
E861487
|
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: Dillingøy | Statement: [Moss municipality, hasIsland, Dillingøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dillingøy Context triple: [Moss municipality, hasIsland, Dillingøy]
-
A.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
B.
Hisøy
Hisøy is an island in southern Norway that forms part of the coastal region of Agder, known for its maritime character and proximity to the town of Arendal.
-
C.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
D.
Kvitsøy
Kvitsøy is a small island municipality in southwestern Norway known for its maritime heritage, lighthouse, and rich coastal fishing grounds.
-
E.
Inderøy
Inderøy is a rural municipality in central Norway known for its cultural heritage, agricultural landscape, and scenic location along the Trondheimsfjord.
- 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: Dillingøy Triple: [Moss municipality, hasIsland, Dillingøy]
Generated description
Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dillingøy Target entity description: Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
-
A.
Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
-
B.
Hisøy
Hisøy is an island in southern Norway that forms part of the coastal region of Agder, known for its maritime character and proximity to the town of Arendal.
-
C.
Rolvsøy
Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
-
D.
Kvitsøy
Kvitsøy is a small island municipality in southwestern Norway known for its maritime heritage, lighthouse, and rich coastal fishing grounds.
-
E.
Inderøy
Inderøy is a rural municipality in central Norway known for its cultural heritage, agricultural landscape, and scenic location along the Trondheimsfjord.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb98c52c8190a52682feacc2bd0d |
completed | April 9, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_69d8276261808190b5ae6fa77f0e145d |
completed | April 9, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859b05a3881908c97cb173d160e44 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:02 p.m.