Triple

T13147059
Position Surface form Disambiguated ID Type / Status
Subject Reine E312366 entity
Predicate hasNearbyIsland P970 FINISHED
Object Sakrisøy
Sakrisøy is a small, picturesque fishing village island in Norway’s Lofoten archipelago, known for its yellow rorbuer cabins and dramatic mountain backdrop.
E1041848 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: Sakrisøy | Statement: [Reine, hasNearbyIsland, Sakrisøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sakrisøy
Context triple: [Reine, hasNearbyIsland, Sakrisøy]
  • A. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • B. Vågsøy
    Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
  • C. Nordre Sandøy
    Nordre Sandøy is an island in the Hvaler archipelago in southeastern Norway, known for its coastal scenery, holiday cottages, and boating opportunities in the outer Oslofjord.
  • D. Sollerøya
    Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
  • 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: Sakrisøy
Triple: [Reine, hasNearbyIsland, Sakrisøy]
Generated description
Sakrisøy is a small, picturesque fishing village island in Norway’s Lofoten archipelago, known for its yellow rorbuer cabins and dramatic mountain backdrop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sakrisøy
Target entity description: Sakrisøy is a small, picturesque fishing village island in Norway’s Lofoten archipelago, known for its yellow rorbuer cabins and dramatic mountain backdrop.
  • A. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • B. Vågsøy
    Vågsøy is a coastal island and former municipality in Vestland county, western Norway, known for its rugged North Sea coastline, lighthouses, and fishing communities.
  • C. Nordre Sandøy
    Nordre Sandøy is an island in the Hvaler archipelago in southeastern Norway, known for its coastal scenery, holiday cottages, and boating opportunities in the outer Oslofjord.
  • D. Sollerøya
    Sollerøya is an island located in Lake Femunden, one of Norway’s largest inland lakes, known for its remote, natural setting.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7460c05bc819089cdd004bb07c492 completed May 3, 2026, 12:56 p.m.
NEDg Description generation batch_69f749ffd5d4819096cee1b27838d7d3 completed May 3, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69f74a58aa948190978568028cc5a445 completed May 3, 2026, 1:15 p.m.
Created at: April 9, 2026, 9:10 p.m.