Triple

T3593333
Position Surface form Disambiguated ID Type / Status
Subject Hjørundfjord E76077 entity
Predicate connectedTo P37 FINISHED
Object Storfjorden E396830 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: Storfjorden | Statement: [Hjørundfjord, connectedTo, Storfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storfjorden
Context triple: [Hjørundfjord, connectedTo, Storfjorden]
  • A. Storfjorden chosen
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • 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. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • D. Granvinfjorden
    Granvinfjorden is a small side fjord in Vestland county, Norway, branching off the larger Hardangerfjord and surrounded by steep mountainous terrain.
  • E. Beisfjorden
    Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595e7d1e481909538deb06b6007a2 completed March 14, 2026, 5:07 p.m.
Created at: March 8, 2026, 3:22 p.m.