Triple

T13398215
Position Surface form Disambiguated ID Type / Status
Subject Moskenesøya E319755 entity
Predicate hasNaturalFeature P1094 FINISHED
Object Reinefjorden E1047404 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: Reinefjorden | Statement: [Moskenesøya, hasNaturalFeature, Reinefjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinefjorden
Context triple: [Moskenesøya, hasNaturalFeature, Reinefjorden]
  • A. Reinefjorden chosen
    Reinefjorden is a dramatic fjord in Norway’s Lofoten archipelago, renowned for its steep mountains, fishing villages, and iconic Arctic coastal scenery.
  • B. Bjørnafjorden
    Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
  • C. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • D. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • E. Billefjorden
    Billefjorden is a fjord in the Svalbard archipelago of Norway, known for its Arctic landscapes and nearby former Soviet mining settlement Pyramiden.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46686c288190a51847f86785568a completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 9:34 p.m.