Triple

T21784059
Position Surface form Disambiguated ID Type / Status
Subject Majorstuen E537788 entity
Predicate hasShoppingArea P4285 FINISHED
Object Bogstadveien shopping street 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: Bogstadveien shopping street | Statement: [Majorstuen, hasShoppingArea, Bogstadveien shopping street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogstadveien shopping street
Context triple: [Majorstuen, hasShoppingArea, Bogstadveien shopping street]
  • A. Bogstadveien shopping street
    Bogstadveien shopping street is a popular, upscale retail and café-lined avenue in Oslo, Norway, known as one of the city’s main shopping destinations.
  • B. Bogstadveien chosen
    Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • C. Trondheimsveien
    Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
  • D. Karl Johans gate area
    Karl Johans gate area is a central and historic district in Oslo, Norway, centered around the city’s main boulevard with prominent cultural, governmental, and commercial landmarks.
  • E. Tøyen Torg
    Tøyen Torg is a central square and commercial hub in Oslo’s Tøyen neighborhood, known for its shops, cafés, and multicultural urban atmosphere.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046303d54819096b3fab4ab5678e6 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.