Triple

T6196051
Position Surface form Disambiguated ID Type / Status
Subject Østensjø E138510 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Oppsal
Oppsal is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
 E577832 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: Oppsal | Statement: [Østensjø, hasNeighbourhood, Oppsal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oppsal
Context triple: [Østensjø, hasNeighbourhood, Oppsal]
  • A. Stord
    Stord is a large island and municipality in Vestland county, western Norway, known for its industrial activity and location along major fjords and shipping routes.
  • B. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • C. Bodø
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • D. Risør
    Risør is a small coastal town in southern Norway known for its well-preserved wooden houses, maritime heritage, and annual wooden boat festival.
  • E. Kristiansand
    Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
  • 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: Oppsal
Triple: [Østensjø, hasNeighbourhood, Oppsal]
Generated description
Oppsal is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oppsal
Target entity description: Oppsal is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its apartment blocks, green areas, and access to public transportation.
  • A. Stord
    Stord is a large island and municipality in Vestland county, western Norway, known for its industrial activity and location along major fjords and shipping routes.
  • B. Sogndal
    Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
  • C. Bodø
    Bodø is a coastal city in northern Norway known as a regional hub for culture, transport, and access to Arctic nature.
  • D. Risør
    Risør is a small coastal town in southern Norway known for its well-preserved wooden houses, maritime heritage, and annual wooden boat festival.
  • E. Kristiansand
    Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
  • 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.