Triple

T3101998
Position Surface form Disambiguated ID Type / Status
Subject Finnøy E64739 entity
Predicate hasIsland P970 FINISHED
Object Lauvøy
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
E354712 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: Lauvøy | Statement: [Finnøy, hasIsland, Lauvøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauvøy
Context triple: [Finnøy, hasIsland, Lauvøy]
  • A. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • B. Ivarsøy
    Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
  • C. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • D. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • 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: Lauvøy
Triple: [Finnøy, hasIsland, Lauvøy]
Generated description
Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lauvøy
Target entity description: Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • A. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • B. Ivarsøy
    Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
  • C. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • D. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26c76ec81908d11f82be573c518 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34badb5cc8190a7e2fef8ec2cc492 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e44bd748190a9c6c67be6bcb9de completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34ed57bf0819080fa0eb8e6875cb6 completed March 12, 2026, 11:40 p.m.
Created at: March 8, 2026, 3:03 p.m.