Triple

T23230939
Position Surface form Disambiguated ID Type / Status
Subject Luster E581151 entity
Predicate hasSettlement P1068 FINISHED
Object Skjolden 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: Skjolden | Statement: [Luster, hasSettlement, Skjolden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skjolden
Context triple: [Luster, hasSettlement, Skjolden]
  • A. Skjolden chosen
    Skjolden is a small Norwegian village located at the innermost end of a branch of the Sognefjord, surrounded by dramatic fjord and mountain scenery.
  • B. Skjöld
    Skjöld is a legendary Danish king in Norse mythology, often regarded as the founder of the Skjöldung (Scylding) dynasty.
  • C. Vikingen
    Vikingen is a notable literary work by Swedish writer, historian, and philosopher Erik Gustaf Geijer.
  • D. Skjelten
    Skjelten is a small settlement in the municipality of Ørskog in Møre og Romsdal county, Norway.
  • E. Tordenskjold
    Tordenskjold was a famed early 18th-century Norwegian-Danish naval hero and officer known for his daring exploits against Sweden during the Great Northern War.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f19231ef908190a791b4967916a66f completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.