Triple

T16196996
Position Surface form Disambiguated ID Type / Status
Subject Øye E393086 entity
Predicate partOf P40 FINISHED
Object Hjørundfjord area E1186947 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: Hjørundfjord area | Statement: [Øye, partOf, Hjørundfjord area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjørundfjord area
Context triple: [Øye, partOf, Hjørundfjord area]
  • A. Vadheimsfjorden area
    The Vadheimsfjorden area is a deep fjord region in western Norway, known as the location of the greatest depths of the Sognefjord.
  • B. Lysefjord area
    The Lysefjord area is a scenic region in southwestern Norway known for its dramatic fjord landscape, steep cliffs, and popular hiking destinations such as Preikestolen and Kjerag.
  • C. Hyefjord area
    The Hyefjord area is a small settlement region in the municipality of Gloppen in Vestland county, western Norway, situated near the Hyefjorden and characterized by its rural fjord landscape.
  • D. Hjørundfjord region chosen
    The Hjørundfjord region is a scenic area in western Norway known for its dramatic fjord landscapes, steep mountains, and traditional villages.
  • E. Lyngen fjord area
    The Lyngen fjord area is a scenic region in northern Norway known for its dramatic fjord landscapes, the Lyngen Alps, and opportunities for outdoor activities like skiing, hiking, 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222dace848190b1a98e47333b922b completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.