Triple

T18326837
Position Surface form Disambiguated ID Type / Status
Subject Fetsund Lenser E439031 entity
Predicate locatedIn P40 FINISHED
Object Fetsund NE NERFINISHED

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: [Fetsund Lenser, locatedIn, Fetsund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fetsund
Context triple: [Fetsund Lenser, locatedIn, 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. Heggefjorden
    Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
  • D. Fyksesund
    Fyksesund is a narrow fjord arm in western Norway known for its dramatic landscapes and traditional coastal settlements.
  • E. Måløysundet
    Måløysundet is a narrow strait off the coast of Vestland county in western Norway, known for separating the island town of Måløy from the mainland and serving as an important local shipping channel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.