Triple

T22765354
Position Surface form Disambiguated ID Type / Status
Subject Lambertseter E563108 entity
Predicate hasFacility P105 FINISHED
Object Lambertseter senter NE NERFINISHED

How this triple was built (3 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: Lambertseter senter | Statement: [Lambertseter, hasFacility, Lambertseter senter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lambertseter senter
Context triple: [Lambertseter, hasFacility, Lambertseter senter]
  • A. Lambertseter
    Lambertseter is a residential borough in Oslo, Norway, known as one of the country’s first planned suburban housing areas with extensive post-war apartment developments.
  • B. Lambertseter station
    Lambertseter station is a metro station on the Oslo Metro system in Norway, serving the Lambertseter neighborhood.
  • C. Sæter
    Sæter is a residential and commercial neighborhood in the Nordstrand borough of Oslo, Norway, known for its local center with shops, services, and public transport connections.
  • D. Lyngseidet
    Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
  • E. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lambertseter senter
Target entity description: Lambertseter senter is a shopping mall and commercial center serving the Lambertseter neighborhood in Oslo, Norway.
  • A. Lambertseter chosen
    Lambertseter is a residential borough in Oslo, Norway, known as one of the country’s first planned suburban housing areas with extensive post-war apartment developments.
  • B. Lambertseter station
    Lambertseter station is a metro station on the Oslo Metro system in Norway, serving the Lambertseter neighborhood.
  • C. Sæter
    Sæter is a residential and commercial neighborhood in the Nordstrand borough of Oslo, Norway, known for its local center with shops, services, and public transport connections.
  • D. Lyngseidet
    Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
  • E. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • F. None of above.

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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80249c819091569e7b8d500b45 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.