Triple

T10428280
Position Surface form Disambiguated ID Type / Status
Subject Hurum E245841 entity
Predicate countyAfterReform P38056 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: [Hurum, countyAfterReform, Viken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viken
Context triple: [Hurum, countyAfterReform, 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: countyAfterReform
Context triple: [Hurum, countyAfterReform, Viken]
  • A. countyAfter2020Reform chosen
    Indicates that an administrative county exists in its form or status as defined following the 2020 reform.
  • B. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • C. municipalityReform
    Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
  • D. laterGovernedAs
    Indicates that an entity subsequently held governing authority over another entity at a later time.
  • E. formerProvinceMunicipality
    Indicates that a municipality previously held the status of a province-level administrative unit but no longer does.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc374f6c8190a44b9da27be343e4 completed April 10, 2026, 11:17 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:13 p.m.