Triple

T15555891
Position Surface form Disambiguated ID Type / Status
Subject Norwegian coastline E370866 entity
Predicate hasPart P35 FINISHED
Object Norwegian fjords E530118 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: Norwegian fjords | Statement: [Norwegian coastline, hasPart, Norwegian fjords]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwegian fjords
Context triple: [Norwegian coastline, hasPart, Norwegian fjords]
  • A. Norwegian fjords chosen
    The Norwegian fjords are deep, glacially carved sea inlets along Norway’s rugged coastline, renowned for their dramatic cliffs, narrow waterways, and striking natural beauty.
  • B. 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.
  • C. Geirangerfjord
    Geirangerfjord is a famous UNESCO-listed fjord in western Norway renowned for its steep cliffs, dramatic waterfalls, and stunning natural scenery.
  • D. Hardangerfjord
    Hardangerfjord is one of Norway’s longest and most scenic fjords, renowned for its dramatic mountains, waterfalls, and fruit orchards.
  • E. Trondheimsfjord
    Trondheimsfjord is a major Norwegian fjord on the central coast, known for its deep waters, rich marine life, and the city of Trondheim along its shores.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffee31b70819092d0583100a7101a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:09 a.m.