Triple

T21486050
Position Surface form Disambiguated ID Type / Status
Subject Norwegian fjords E530118 entity
Predicate hasNotableExample P1259 FINISHED
Object Geirangerfjord 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: Geirangerfjord | Statement: [Norwegian fjords, hasNotableExample, Geirangerfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geirangerfjord
Context triple: [Norwegian fjords, hasNotableExample, 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. Geiranger
    Geiranger is a small Norwegian village in the Sunnmøre region of Møre og Romsdal, renowned as a popular tourist destination surrounded by dramatic fjord and mountain scenery.
  • C. Hardangerfjord
    Hardangerfjord is one of Norway’s longest and most scenic fjords, renowned for its dramatic mountains, waterfalls, and fruit orchards.
  • D. Nærøyfjord
    Nærøyfjord is a narrow, dramatic branch of Norway’s Sognefjord and a UNESCO World Heritage Site renowned for its steep mountainsides, waterfalls, and picturesque fjord landscapes.
  • E. Gåsefjord
    Gåsefjord is a fjord in eastern Greenland’s Scoresby Sund region, known for its remote Arctic landscapes, ice-filled waters, and surrounding rugged mountains.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea370adc8190b79fe26e2eba1dca completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.