Triple

T20447277
Position Surface form Disambiguated ID Type / Status
Subject Brekstad E501549 entity
Predicate hasFerryConnectionTo P1831 FINISHED
Object Lensvik NE NERFINISHED

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: Lensvik | Statement: [Brekstad, hasFerryConnectionTo, Lensvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lensvik
Context triple: [Brekstad, hasFerryConnectionTo, Lensvik]
  • A. Lensvik chosen
    Lensvik is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known historically for its fruit cultivation.
  • B. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • C. Bergvik
    Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • D. Laukvik
    Laukvik is a small coastal settlement located on the island of Rebbenesøya in northern Norway.
  • E. Laukvik
    Laukvik is a small coastal village in northern Norway, located in the Lofoten archipelago and known for its scenic Arctic landscapes and fishing heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfe57a8819094bd3d324bd567f5 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.