Triple

T15302608
Position Surface form Disambiguated ID Type / Status
Subject Kvinnherad E365824 entity
Predicate containsIsland P970 FINISHED
Object Halsnøy
Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
 E1164782 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: Halsnøy | Statement: [Kvinnherad, containsIsland, Halsnøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halsnøy
Context triple: [Kvinnherad, containsIsland, Halsnøy]
  • A. Hamnøy
    Hamnøy is a picturesque fishing village and island in Norway’s Lofoten archipelago, renowned for its dramatic mountain scenery and iconic red rorbuer cabins.
  • B. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • C. Huftarøy
    Huftarøy is the main and largest island of the Austevoll municipality in Vestland county, Norway, known for its coastal landscapes and fishing communities.
  • D. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • E. Skarsvåg
    Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
  • 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: Halsnøy
Triple: [Kvinnherad, containsIsland, Halsnøy]
Generated description
Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halsnøy
Target entity description: Halsnøy is a large island in Vestland county, Norway, known for its scenic landscapes and historical sites including the medieval Halsnøy Abbey.
  • A. Hamnøy
    Hamnøy is a picturesque fishing village and island in Norway’s Lofoten archipelago, renowned for its dramatic mountain scenery and iconic red rorbuer cabins.
  • B. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • C. Huftarøy
    Huftarøy is the main and largest island of the Austevoll municipality in Vestland county, Norway, known for its coastal landscapes and fishing communities.
  • D. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • E. Skarsvåg
    Skarsvåg is a small fishing village in northern Norway often noted as one of the world’s northernmost permanently inhabited settlements.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2efb148190a2e6c0811f2afb5f completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4d4dd8108190aa3271a9feaea5ca completed May 9, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff4e29e8a48190bf7728cf2d099a7e completed May 9, 2026, 3:09 p.m.
Created at: April 10, 2026, 3:15 a.m.