Triple

T7584254
Position Surface form Disambiguated ID Type / Status
Subject Rombaken E179566 entity
Predicate partOf P40 FINISHED
Object Ofotfjord E33601 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: Ofotfjord | Statement: [Rombaken, partOf, Ofotfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ofotfjord
Context triple: [Rombaken, partOf, Ofotfjord]
  • A. Ofotfjord chosen
    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.
  • B. Lyngenfjord
    Lyngenfjord is a dramatic fjord in northern Norway renowned for its steep mountains, glaciers, and popular opportunities for hiking, skiing, and Northern Lights viewing.
  • C. Hardangerfjord
    Hardangerfjord is one of Norway’s longest and most scenic fjords, renowned for its dramatic mountains, waterfalls, and fruit orchards.
  • D. 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.
  • E. Nordfjord
    Nordfjord is a major fjord and surrounding district in Vestland county, Western Norway, known for its dramatic coastal scenery, glaciers, and mountainous landscapes.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20bb4708190af7bc67db7c108b3 completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:52 p.m.