Triple

T10427830
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm (municipality) E245831 entity
Predicate contains P35 FINISHED
Object Fetsund E481801 NE FINISHED

How this triple was built (2 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: Fetsund | Statement: [Lillestrøm (municipality), contains, Fetsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fetsund
Context triple: [Lillestrøm (municipality), contains, Fetsund]
  • A. Fetsund chosen
    Fetsund is a village in Lillestrøm Municipality in Viken county, Norway, known for its riverside location and historic timber floating facilities along the Glomma River.
  • B. Vikersund
    Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
  • C. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • D. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • E. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_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.
Created at: April 6, 2026, 12:13 p.m.