Triple

T15302289
Position Surface form Disambiguated ID Type / Status
Subject Kjerag E365817 entity
Predicate overlooks P1323 FINISHED
Object Lysefjord 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: Lysefjord | Statement: [Kjerag, overlooks, Lysefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysefjord
Context triple: [Kjerag, overlooks, Lysefjord]
  • A. Lysefjord chosen
    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.
  • 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. Finnfjorden
    Finnfjorden is a Norwegian fjord located in Troms og Finnmark county, known for its rugged coastal scenery and connection to surrounding straits and waterways.
  • D. Vindafjorden
    Vindafjorden is a fjord in Rogaland county, Norway, known as one of the main inner branches of the larger Boknafjorden system.
  • E. Beisfjorden
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
Created at: April 10, 2026, 3:15 a.m.