Triple

T23080695
Position Surface form Disambiguated ID Type / Status
Subject Bøler E575460 entity
Predicate partOf P40 FINISHED
Object Østensjø borough NE NERFINISHED

How this triple was built (2 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: Østensjø borough | Statement: [Bøler, partOf, Østensjø borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østensjø borough
Context triple: [Bøler, partOf, Østensjø borough]
  • A. Østensjø district chosen
    Østensjø district is a residential borough in the southeastern part of Oslo, Norway, known for its lakes, green spaces, and suburban character.
  • B. Haugaland district
    Haugaland district is a traditional region in western Norway centered around the coastal city of Haugesund and known for its maritime heritage and rugged coastal landscape.
  • C. Nordre Aker district
    Nordre Aker district is a largely residential borough in the northern part of Oslo, Norway, known for its green areas, educational institutions, and good public transport connections.
  • D. Vestre Aker district
    Vestre Aker district is a largely affluent, residential borough in the western part of Oslo, Norway, known for its green areas and suburban character.
  • E. Bjørvika district
    Bjørvika district is a redeveloped waterfront area in central Oslo, Norway, known for its modern architecture, cultural institutions, and striking harbor skyline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c67e06881908d24d6267bb49553 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.