Triple

T591308
Position Surface form Disambiguated ID Type / Status
Subject Western Norway E17275 entity
Predicate touristAttraction P530 FINISHED
Object Geirangerfjord E74924 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: Geirangerfjord | Statement: [Western Norway, touristAttraction, Geirangerfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geirangerfjord
Context triple: [Western Norway, touristAttraction, Geirangerfjord]
  • A. Geirangerfjord chosen
    Geirangerfjord is a famous UNESCO-listed fjord in western Norway renowned for its steep cliffs, dramatic waterfalls, and stunning natural scenery.
  • B. Hardangerfjord
    Hardangerfjord is one of Norway’s longest and most scenic fjords, renowned for its dramatic mountains, waterfalls, and fruit orchards.
  • C. Ofotfjord
    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.
  • D. Nordfjord
    Nordfjord is a major fjord and surrounding district in Vestland county, Western Norway, known for its dramatic coastal scenery, glaciers, and mountainous landscapes.
  • E. Sognefjord
    Sognefjord is Norway’s longest and deepest fjord, renowned for its dramatic cliffs, glacial landscapes, and scenic coastal villages.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bbaf53081908eed240bed09f63b completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52ea8dd8481909108a8873c5d49d5 completed March 2, 2026, 6:31 a.m.
Created at: March 1, 2026, 7:33 p.m.