Triple

T7508121
Position Surface form Disambiguated ID Type / Status
Subject Hvaler archipelago E177444 entity
Predicate hasIsland P970 FINISHED
Object Asmaløy
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
E674507 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: Asmaløy | Statement: [Hvaler archipelago, hasIsland, Asmaløy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asmaløy
Context triple: [Hvaler archipelago, hasIsland, Asmaløy]
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • C. Måløy
    Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
  • D. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • E. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • 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: Asmaløy
Triple: [Hvaler archipelago, hasIsland, Asmaløy]
Generated description
Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asmaløy
Target entity description: Asmaløy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday homes.
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • C. Måløy
    Måløy is a coastal town in western Norway known as a key fishing port and regional commercial center.
  • D. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • E. Honningsvåg
    Honningsvåg is a small Arctic port town in northern Norway, often used as a gateway to the North Cape and a popular stop for cruise and coastal voyages.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b8ab5c8190828ee8d144068828 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861438bb08190a5254ed7f28aec32 completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c861fd13bc8190a9ef4214267c85b5 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862a2f6808190942a22bf93994408 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:45 p.m.