Triple

T5065574
Position Surface form Disambiguated ID Type / Status
Subject Tyrifjorden E114134 entity
Predicate hasIsland P970 FINISHED
Object Røsholmholmen
Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
E489963 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: Røsholmholmen | Statement: [Tyrifjorden, hasIsland, Røsholmholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Røsholmholmen
Context triple: [Tyrifjorden, hasIsland, Røsholmholmen]
  • A. Gressholmen
    Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
  • B. Helgeandsholmen
    Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
  • C. Hirsholmene
    Hirsholmene is a small Danish archipelago and protected nature reserve in the Kattegat, known for its rich birdlife and unspoiled coastal landscapes.
  • D. Kvarnholmen
    Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
  • E. Nakkholmen
    Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
  • 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: Røsholmholmen
Triple: [Tyrifjorden, hasIsland, Røsholmholmen]
Generated description
Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Røsholmholmen
Target entity description: Røsholmholmen is a small island located in Tyrifjorden, a large lake in southeastern Norway.
  • A. Gressholmen
    Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
  • B. Helgeandsholmen
    Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
  • C. Hirsholmene
    Hirsholmene is a small Danish archipelago and protected nature reserve in the Kattegat, known for its rich birdlife and unspoiled coastal landscapes.
  • D. Kvarnholmen
    Kvarnholmen is a former industrial island district in the Stockholm area that has been transformed into a modern residential and waterfront neighborhood.
  • E. Nakkholmen
    Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea49d917081909ead17eed3f8af90 completed March 21, 2026, 2:01 p.m.
NEDg Description generation batch_69bea525d9088190b0b655687dd27630 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea594850881909cd683670b63a079 completed March 21, 2026, 2:05 p.m.
Created at: March 20, 2026, 1:38 p.m.