Triple

T13521518
Position Surface form Disambiguated ID Type / Status
Subject Kvæfjord E322907 entity
Predicate hasFjord P56784 FINISHED
Object Kvæfjorden E1114706 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: Kvæfjorden | Statement: [Kvæfjord, hasFjord, Kvæfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kvæfjorden
Context triple: [Kvæfjord, hasFjord, Kvæfjorden]
  • A. Kvæfjorden chosen
    Kvæfjorden is a fjord in Troms county in northern Norway, known for its scenic coastal landscape and surrounding mountainous terrain.
  • B. Kirkefjorden
    Kirkefjorden is a scenic fjord on the island of Moskenesøya in Norway’s Lofoten archipelago, known for its steep mountainsides and dramatic coastal landscape.
  • C. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • D. Kvernesfjord
    Kvernesfjord is a scenic fjord in Møre og Romsdal county, Norway, known for its coastal landscapes and proximity to the historic Kvernes Church.
  • E. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249c57bc819089baed544fb8fead completed May 8, 2026, 5:59 p.m.
Created at: April 9, 2026, 9:44 p.m.