Triple

T19266770
Position Surface form Disambiguated ID Type / Status
Subject Fetsund E481801 entity
Predicate hasAttraction P105 FINISHED
Object Fetsund Lenser E439031 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 Lenser | Statement: [Fetsund, hasAttraction, Fetsund Lenser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fetsund Lenser
Context triple: [Fetsund, hasAttraction, Fetsund Lenser]
  • A. Fetsund Lenser chosen
    Fetsund Lenser is a historic timber floating facility and cultural heritage site along the Glomma River in Norway, known for its preserved log-driving installations and wetland nature area.
  • B. Lensvik
    Lensvik is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known historically for its fruit cultivation.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Lyngstad
    Lyngstad is the surname of Anni-Frid Lyngstad, the Norwegian-Swedish singer best known as one of the lead vocalists of the pop group ABBA.
  • E. Lessebo
    Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e6ec97c81909944d41943b94b34 completed May 15, 2026, 12:15 p.m.
Created at: April 10, 2026, 1:29 p.m.