Triple

T3542715
Position Surface form Disambiguated ID Type / Status
Subject Ålesund E74923 entity
Predicate locatedOn P40 FINISHED
Object Nørvøya
Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
 E375450 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: Nørvøya | Statement: [Ålesund, locatedOn, Nørvøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nørvøya
Context triple: [Ålesund, locatedOn, Nørvøya]
  • A. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • B. Bjørnøya
    Bjørnøya is a remote, largely uninhabited Norwegian island in the Barents Sea, known for its rugged cliffs, rich birdlife, and role as the southernmost part of the Svalbard archipelago.
  • C. Flakstadøya
    Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
  • D. Vadsøya
    Vadsøya is a small island in northern Norway that forms part of the town of Vadsø, known for its Arctic coastal setting and historical significance in Finnmark.
  • E. Moskenesøya
    Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • 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: Nørvøya
Triple: [Ålesund, locatedOn, Nørvøya]
Generated description
Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nørvøya
Target entity description: Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
  • A. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • B. Bjørnøya
    Bjørnøya is a remote, largely uninhabited Norwegian island in the Barents Sea, known for its rugged cliffs, rich birdlife, and role as the southernmost part of the Svalbard archipelago.
  • C. Flakstadøya
    Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
  • D. Vadsøya
    Vadsøya is a small island in northern Norway that forms part of the town of Vadsø, known for its Arctic coastal setting and historical significance in Finnmark.
  • E. Moskenesøya
    Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44ef0a4588190b82a395760c8072a completed March 13, 2026, 5:52 p.m.
NEDg Description generation batch_69b4536c7db88190bd9d8fb5898fb0d9 completed March 13, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_69b45edec6e48190aaed2fb4fee2dcb5 completed March 13, 2026, 7 p.m.
Created at: March 8, 2026, 3:20 p.m.