Triple

T7508103
Position Surface form Disambiguated ID Type / Status
Subject Bolærne islands E177443 entity
Predicate hasNameInNorwegian P24009 FINISHED
Object Bolærne
Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
 E668966 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: Bolærne | Statement: [Bolærne islands, hasNameInNorwegian, Bolærne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bolærne
Context triple: [Bolærne islands, hasNameInNorwegian, Bolærne]
  • A. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • B. Brolas
    Brolas is a historic estate on the Isle of Mull in Scotland associated with Clan Maclean.
  • C. Bluets
    Bluets is a lyrical, genre-defying book by Maggie Nelson that blends memoir, philosophy, and poetic meditation through an obsessive focus on the color blue.
  • D. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • E. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • 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: Bolærne
Triple: [Bolærne islands, hasNameInNorwegian, Bolærne]
Generated description
Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bolærne
Target entity description: Bolærne is a small archipelago in the Oslofjord in southeastern Norway, known for its coastal scenery, recreational areas, and former military installations.
  • A. Bøler
    Bøler is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its post-war apartment blocks, green surroundings, and access to the Østmarka forest.
  • B. Brolas
    Brolas is a historic estate on the Isle of Mull in Scotland associated with Clan Maclean.
  • C. Bluets
    Bluets is a lyrical, genre-defying book by Maggie Nelson that blends memoir, philosophy, and poetic meditation through an obsessive focus on the color blue.
  • D. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • E. The Ball
    The Ball is the popular nickname for Reunion Tower, a distinctive geodesic observation tower and Dallas landmark known for its glowing spherical top.
  • 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_69c83ca56e3c81908c3bae8ad2d9ecd1 completed March 28, 2026, 8:40 p.m.
NEDg Description generation batch_69c83d5884a88190a22c0fb54f9731c7 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c84071abb88190a2dadd57ff088f3d completed March 28, 2026, 8:56 p.m.
Created at: March 27, 2026, 3:45 p.m.