Triple

T13065583
Position Surface form Disambiguated ID Type / Status
Subject Ryfylke E329313 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Lysefjorden E75760 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: Lysefjorden | Statement: [Ryfylke, hasBodyOfWater, Lysefjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lysefjorden
Context triple: [Ryfylke, hasBodyOfWater, Lysefjorden]
  • 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. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • C. Dalsfjorden
    Dalsfjorden is a fjord in western Norway known for its steep surrounding mountains, deep waters, and small coastal settlements.
  • D. Beisfjorden
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • E. Namsenfjorden
    Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead460908190a566f5416e456aeb completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:59 p.m.