Triple

T15014337
Position Surface form Disambiguated ID Type / Status
Subject Molde Municipality E377918 entity
Predicate contains P35 FINISHED
Object Veøya
Veøya is a historic island in Norway known for its medieval church and role as an important trading center in the Romsdal region.
 E1265603 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: Veøya | Statement: [Molde Municipality, contains, Veøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veøya
Context triple: [Molde Municipality, contains, Veøya]
  • A. Vestvågøya island
    Vestvågøya island is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • B. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • C. Værøy
    Værøy is a small, scenic island and fishing community in northern Norway, known for its dramatic coastal landscapes and part of the Lofoten archipelago.
  • D. Andøya
    Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
  • E. Nørvøya
    Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
  • 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: Veøya
Triple: [Molde Municipality, contains, Veøya]
Generated description
Veøya is a historic island in Norway known for its medieval church and role as an important trading center in the Romsdal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veøya
Target entity description: Veøya is a historic island in Norway known for its medieval church and role as an important trading center in the Romsdal region.
  • A. Vestvågøya island
    Vestvågøya island is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • B. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • C. Værøy
    Værøy is a small, scenic island and fishing community in northern Norway, known for its dramatic coastal landscapes and part of the Lofoten archipelago.
  • D. Andøya
    Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
  • E. Nørvøya
    Nørvøya is a coastal island in western Norway that forms part of the urban area of the town of Ålesund.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019fd56d0c8190a48cf8a47290d9ff completed May 11, 2026, 9:22 a.m.
NEDg Description generation batch_6a01a078ae4881909ee0e192032909fd completed May 11, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a01a0d9e5348190931ee4df49563ea5 completed May 11, 2026, 9:26 a.m.
Created at: April 10, 2026, 2:55 a.m.