Triple

T6196128
Position Surface form Disambiguated ID Type / Status
Subject Ullern E138511 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Sollerud
Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
 E577833 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: Sollerud | Statement: [Ullern, hasNeighbourhood, Sollerud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sollerud
Context triple: [Ullern, hasNeighbourhood, Sollerud]
  • A. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • 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: Sollerud
Triple: [Ullern, hasNeighbourhood, Sollerud]
Generated description
Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sollerud
Target entity description: Sollerud is a residential neighborhood in the Ullern borough of Oslo, Norway, known for its proximity to the Oslofjord and mix of housing and green areas.
  • A. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • B. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • C. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • D. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • E. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d8e4b308190b855cb04c9cfefeb completed March 24, 2026, 4:05 a.m.
NEDg Description generation batch_69c2161cb8dc8190ae4e6939e392c8d4 completed March 24, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69c2168aba8c8190841f8c2520a246ea completed March 24, 2026, 4:43 a.m.
Created at: March 22, 2026, 4:20 p.m.