Triple

T18313006
Position Surface form Disambiguated ID Type / Status
Subject Norra Bantorget E438677 entity
Predicate hasNearbyBuilding P5648 FINISHED
Object LO-borgen 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: LO-borgen | Statement: [Norra Bantorget, hasNearbyBuilding, LO-borgen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LO-borgen
Context triple: [Norra Bantorget, hasNearbyBuilding, LO-borgen]
  • A. Lodalen
    Lodalen is a small valley and residential-industrial area in Oslo, Norway, situated near the inner-city districts and railway facilities.
  • B. Løkken
    Løkken is a Danish seaside town known for its sandy beaches, coastal dunes, and popular summer tourism on the North Sea.
  • C. Kulbanekvarteret
    Kulbanekvarteret is a residential neighborhood in the Valby district of Copenhagen, Denmark, known for its mix of housing and urban redevelopment.
  • D. Blokhus
    Blokhus is a Danish seaside resort town known for its wide sandy beaches, coastal dunes, and tourism along the North Sea.
  • E. Løren
    Løren is a rapidly developing residential and commercial neighborhood in Oslo, Norway, known for its modern housing, new infrastructure, and proximity to central city areas.
  • 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: LO-borgen
Target entity description: LO-borgen is a historic brick headquarters of the Swedish Trade Union Confederation (LO) in central Stockholm, known as a key landmark of the Swedish labor movement.
  • A. Lodalen
    Lodalen is a small valley and residential-industrial area in Oslo, Norway, situated near the inner-city districts and railway facilities.
  • B. Løkken
    Løkken is a Danish seaside town known for its sandy beaches, coastal dunes, and popular summer tourism on the North Sea.
  • C. Kulbanekvarteret
    Kulbanekvarteret is a residential neighborhood in the Valby district of Copenhagen, Denmark, known for its mix of housing and urban redevelopment.
  • D. Blokhus
    Blokhus is a Danish seaside resort town known for its wide sandy beaches, coastal dunes, and tourism along the North Sea.
  • E. Løren
    Løren is a rapidly developing residential and commercial neighborhood in Oslo, Norway, known for its modern housing, new infrastructure, and proximity to central city areas.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021a96b48190976273be3ff3e5c6 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.