Triple

T21048077
Position Surface form Disambiguated ID Type / Status
Subject 22/7 attacks E518499 entity
Predicate countyOfUtøya P125625 FINISHED
Object Viken county 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: Viken county | Statement: [22/7 attacks, countyOfUtøya, Viken county]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viken county
Context triple: [22/7 attacks, countyOfUtøya, Viken county]
  • A. Viken county chosen
    Viken county is an administrative region in southeastern Norway that includes several municipalities and borders Sweden and the Oslofjord.
  • B. Skåne County
    Skåne County is Sweden’s southernmost county, known for its fertile farmland, coastal landscapes, and major cities such as Malmö and Lund.
  • C. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • D. Västmanland County
    Västmanland County is an administrative region in central Sweden known for its mix of industrial towns, forests, and lakes.
  • E. Halland County
    Halland County is a coastal county in southwestern Sweden known for its beaches along the Kattegat, agriculture, and proximity to the city of Gothenburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countyOfUtøya
Context triple: [22/7 attacks, countyOfUtøya, Viken county]
  • A. isInFylke chosen
    Indicates that one entity (typically a place or municipality) is located within a specific Norwegian county (fylke).
  • B. nearCityOnNorwegianSide
    Indicates that one entity is located close to a specified city that lies on the Norwegian side of a border or region.
  • C. distanceFromKristiansand
    Indicates the spatial distance between a given location or object and the city of Kristiansand.
  • D. HovdenIs
    Indicates that something or someone is identified as, characterized as, or located in Hovden.
  • E. distanceToEidsvollTown_km
    Indicates the physical distance, measured in kilometers, between a given place and the town of Eidsvoll.
  • F. None of above.

Provenance (3 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf5b01481909db49aa5be3846aa completed April 21, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:34 p.m.