Triple

T6196055
Position Surface form Disambiguated ID Type / Status
Subject Østensjø E138510 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Abildsø
Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
 E575464 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: Abildsø | Statement: [Østensjø, hasNeighbourhood, Abildsø]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abildsø
Context triple: [Østensjø, hasNeighbourhood, Abildsø]
  • A. Vadsø
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • B. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • C. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • 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: Abildsø
Triple: [Østensjø, hasNeighbourhood, Abildsø]
Generated description
Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abildsø
Target entity description: Abildsø is a residential neighborhood in the borough of Østensjø in Oslo, Norway, known for its green areas and proximity to the lake Østensjøvannet.
  • A. Vadsø
    Vadsø is a small coastal town and administrative center in Finnmark, known for its Arctic location on the Varanger Peninsula and its role as a hub of Sami and Kven culture in Northern Norway.
  • B. Frederiksø
    Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
  • C. Birkelunden
    Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
  • D. Blangsted
    Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
  • E. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • 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_69c16f234ffc8190a6e8166e2ac554a8 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e32429f48190bc18f4d78f3c79e8 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e4844f848190bf67d916851514bc completed March 24, 2026, 1:10 a.m.
Created at: March 22, 2026, 4:20 p.m.