Triple

T22611677
Position Surface form Disambiguated ID Type / Status
Subject Stovner metro station E566719 entity
Predicate nearbyFacility P350 FINISHED
Object Stovner shopping centre 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: Stovner shopping centre | Statement: [Stovner metro station, nearbyFacility, Stovner shopping centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stovner shopping centre
Context triple: [Stovner metro station, nearbyFacility, Stovner shopping centre]
  • A. Nordstan shopping centre
    Nordstan shopping centre is one of Scandinavia’s largest indoor shopping malls, located in central Gothenburg, Sweden, and housing a wide range of shops, restaurants, and services.
  • B. Origo shopping centre
    Origo shopping centre is a major multi-level retail and commercial complex in central Riga, Latvia, known for its wide range of shops, services, and direct integration with the city’s main transport hub.
  • C. Spinderiet shopping centre
    Spinderiet shopping centre is a modern retail and lifestyle complex in the Valby district of Copenhagen, Denmark, featuring a mix of shops, eateries, and services.
  • D. Oslo City shopping centre
    Oslo City shopping centre is a large, centrally located shopping mall in downtown Oslo, Norway, featuring numerous retail stores, restaurants, and services.
  • E. Viby Centret shopping centre
    Viby Centret shopping centre is a local retail and service hub in the Viby J district, offering a range of shops, dining options, and everyday amenities.
  • 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: Stovner shopping centre
Target entity description: Stovner shopping centre is a large retail and community hub in the Stovner district of Oslo, Norway, featuring a wide range of shops, services, and dining options.
  • A. Nordstan shopping centre
    Nordstan shopping centre is one of Scandinavia’s largest indoor shopping malls, located in central Gothenburg, Sweden, and housing a wide range of shops, restaurants, and services.
  • B. Origo shopping centre
    Origo shopping centre is a major multi-level retail and commercial complex in central Riga, Latvia, known for its wide range of shops, services, and direct integration with the city’s main transport hub.
  • C. Spinderiet shopping centre
    Spinderiet shopping centre is a modern retail and lifestyle complex in the Valby district of Copenhagen, Denmark, featuring a mix of shops, eateries, and services.
  • D. Oslo City shopping centre
    Oslo City shopping centre is a large, centrally located shopping mall in downtown Oslo, Norway, featuring numerous retail stores, restaurants, and services.
  • E. Viby Centret shopping centre
    Viby Centret shopping centre is a local retail and service hub in the Viby J district, offering a range of shops, dining options, and everyday amenities.
  • F. None of above. chosen

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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.