Triple

T10635769
Position Surface form Disambiguated ID Type / Status
Subject Nesodden E250574 entity
Predicate locatedInFylkeAfter2020Reform P40 FINISHED
Object Viken E93795 NE FINISHED

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 | Statement: [Nesodden, locatedInFylkeAfter2020Reform, Viken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viken
Context triple: [Nesodden, locatedInFylkeAfter2020Reform, Viken]
  • A. Viken chosen
    Viken is a county in southeastern Norway that includes the area around Oslo and stretches from the Swedish border to the mountainous interior.
  • B. Kattegat
    Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
  • C. Sollentuna
    Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
  • D. Torsken
    Torsken is a small coastal village and former fishing-based municipality located on the island of Senja in northern Norway.
  • E. Ostönnen
    Ostönnen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
  • 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: locatedInFylkeAfter2020Reform
Context triple: [Nesodden, locatedInFylkeAfter2020Reform, Viken]
  • A. locatedInPresentDayMunicipality
    Indicates that an entity is situated within the boundaries of a specific municipality as it exists in the present day, regardless of historical administrative changes.
  • B. locatedInRegionalDistrict
    Indicates that one entity is geographically situated within the boundaries of a specified regional district.
  • C. locatedIn chosen
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • D. islandMunicipality
    Indicates that a municipality is located on, or primarily consists of, an island.
  • E. administrativeDistrictOf
    Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
  • F. None of above.

Provenance (4 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998a4571481908f5010146f7ca5d7 completed April 11, 2026, 12:41 a.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:03 p.m.