Triple

T20018467
Position Surface form Disambiguated ID Type / Status
Subject Ulstein E494783 entity
Predicate hasIsland P970 FINISHED
Object Hareidlandet
Hareidlandet is an island on Norway’s western coast known for its rugged coastal landscape and the municipalities of Hareid and Ulstein.
 E1407200 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: Hareidlandet | Statement: [Ulstein, hasIsland, Hareidlandet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hareidlandet
Context triple: [Ulstein, hasIsland, Hareidlandet]
  • A. Hurumlandet
    Hurumlandet is a peninsula in Viken county, Norway, known for its coastal landscapes along the Oslofjord and Drammensfjord.
  • B. Hageland
    Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
  • C. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • D. Hareid
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • E. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • 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: Hareidlandet
Triple: [Ulstein, hasIsland, Hareidlandet]
Generated description
Hareidlandet is an island on Norway’s western coast known for its rugged coastal landscape and the municipalities of Hareid and Ulstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hareidlandet
Target entity description: Hareidlandet is an island on Norway’s western coast known for its rugged coastal landscape and the municipalities of Hareid and Ulstein.
  • A. Hurumlandet
    Hurumlandet is a peninsula in Viken county, Norway, known for its coastal landscapes along the Oslofjord and Drammensfjord.
  • B. Hageland
    Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
  • C. Forlandet
    Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
  • D. Hareid
    Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
  • E. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e286230819097e564d028e73ab5 completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080ef87f08819091b4a76009b1c4ba completed May 16, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_6a080f8bb81c819098d39ad6e1642aa8 completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:34 p.m.