Triple

T13282671
Position Surface form Disambiguated ID Type / Status
Subject Bogen i Ofoten E316362 entity
Predicate hasCoastlineOn P212 FINISHED
Object Ofotfjorden E33601 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: Ofotfjorden | Statement: [Bogen i Ofoten, hasCoastlineOn, Ofotfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofotfjorden
Context triple: [Bogen i Ofoten, hasCoastlineOn, Ofotfjorden]
  • A. Ofotfjord chosen
    Ofotfjord is a dramatic fjord in northern Norway near Narvik, known for its strategic importance and as a key site of naval operations during World War II.
  • B. Strindfjorden
    Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
  • C. Trondheimsfjord
    Trondheimsfjord is a major Norwegian fjord on the central coast, known for its deep waters, rich marine life, and the city of Trondheim along its shores.
  • D. Lysefjord
    Lysefjord is a dramatic, steep-walled fjord in southwestern Norway, famed for its towering cliffs, including the iconic Preikestolen (Pulpit Rock), and striking natural scenery.
  • E. Lyngenfjord
    Lyngenfjord is a dramatic fjord in northern Norway renowned for its steep mountains, glaciers, and popular opportunities for hiking, skiing, and Northern Lights viewing.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:27 p.m.