Triple
T15077006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fjell municipality |
E380030
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Turøy
Turøy is a small island in Western Norway known for its coastal scenery, birdlife, and proximity to the city of Bergen.
|
E1180755
|
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: Turøy | Statement: [Fjell municipality, hasIsland, Turøy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turøy Context triple: [Fjell municipality, hasIsland, Turøy]
-
A.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
B.
Måløy
Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
-
C.
Øksnes
Øksnes is a coastal municipality in Nordland county, Norway, known for its fishing communities and location within the Vesterålen archipelago.
-
D.
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.
-
E.
Andøy
Andøy is a municipality and island area in Nordland county, Norway, known for its Arctic landscapes, fishing communities, and whale-watching opportunities.
- 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: Turøy Triple: [Fjell municipality, hasIsland, Turøy]
Generated description
Turøy is a small island in Western Norway known for its coastal scenery, birdlife, and proximity to the city of Bergen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turøy Target entity description: Turøy is a small island in Western Norway known for its coastal scenery, birdlife, and proximity to the city of Bergen.
-
A.
Rennesøy
Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
-
B.
Måløy
Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
-
C.
Øksnes
Øksnes is a coastal municipality in Nordland county, Norway, known for its fishing communities and location within the Vesterålen archipelago.
-
D.
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.
-
E.
Andøy
Andøy is a municipality and island area in Nordland county, Norway, known for its Arctic landscapes, fishing communities, and whale-watching opportunities.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92b99c48190b76e1306cf32a568 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffa9a8a8f48190bdeed1cb7143245d |
completed | May 9, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa0b3750819096340bda8a7cf8f5 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 10, 2026, 3:03 a.m.