Triple

T17370984
Position Surface form Disambiguated ID Type / Status
Subject Krødsherad E422312 entity
Predicate locatedByWaterBody P1489 FINISHED
Object Krøderen NE ONNED1

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: Krøderen | Statement: [Krødsherad, locatedByWaterBody, Krøderen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krøderen
Context triple: [Krødsherad, locatedByWaterBody, Krøderen]
  • A. Krøderen chosen
    Krøderen is a long, narrow lake in Viken county, Norway, known for its scenic surroundings and the heritage Krøder Line railway running along its shore.
  • B. Dybbøl
    Dybbøl is a historic village in southern Denmark best known as the site of major battles during the Second Schleswig War, particularly the 1864 Battle of Dybbøl.
  • C. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • D. Gjentagelsen
    Gjentagelsen is a philosophical work by Søren Kierkegaard that explores the concept of repetition as a central category of human existence and faith.
  • E. Straumgjerde
    Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f in_progress May 11, 2026, 8:38 a.m.
Created at: April 10, 2026, 5:44 a.m.