Triple

T19248594
Position Surface form Disambiguated ID Type / Status
Subject Hallonbergen metro station E481326 entity
Predicate locatedUndergroundBelow P10157 FINISHED
Object Hallonbergsplan area 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: Hallonbergsplan area | Statement: [Hallonbergen metro station, locatedUndergroundBelow, Hallonbergsplan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallonbergsplan area
Context triple: [Hallonbergen metro station, locatedUndergroundBelow, Hallonbergsplan area]
  • A. Björkhagen residential area
    Björkhagen residential area is a suburban neighborhood in southern Stockholm, Sweden, known for its mid-20th-century housing and proximity to green spaces and nature reserves.
  • B. Lindhagen area
    The Lindhagen area is a modern waterfront district in western Stockholm known for its mixed-use developments, offices, and residential buildings.
  • C. Slottsparken area
    The Slottsparken area is a central park and surrounding district in Oslo known for encompassing the grounds of the Royal Palace and serving as a prominent green space in the city.
  • D. Gullmarsplan
    Gullmarsplan is a major public transport hub and metro station in southern Stockholm, serving as a key connection point between multiple subway lines and bus routes.
  • E. Nordstan area
    The Nordstan area is a major commercial district in central Gothenburg, Sweden, best known for its large shopping center and proximity to key transport hubs.
  • 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: Hallonbergsplan area
Target entity description: Hallonbergsplan area is a district in Sundbyberg, Stockholm, known for its residential neighborhoods and proximity to the Hallonbergen metro station.
  • A. Björkhagen residential area
    Björkhagen residential area is a suburban neighborhood in southern Stockholm, Sweden, known for its mid-20th-century housing and proximity to green spaces and nature reserves.
  • B. Lindhagen area
    The Lindhagen area is a modern waterfront district in western Stockholm known for its mixed-use developments, offices, and residential buildings.
  • C. Slottsparken area
    The Slottsparken area is a central park and surrounding district in Oslo known for encompassing the grounds of the Royal Palace and serving as a prominent green space in the city.
  • D. Gullmarsplan
    Gullmarsplan is a major public transport hub and metro station in southern Stockholm, serving as a key connection point between multiple subway lines and bus routes.
  • E. Nordstan area
    The Nordstan area is a major commercial district in central Gothenburg, Sweden, best known for its large shopping center and proximity to key transport hubs.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb2e7cf881908dafd45d7a305c52 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.