Triple

T16468181
Position Surface form Disambiguated ID Type / Status
Subject Stryn Municipality E399987 entity
Predicate containsSettlement P847 FINISHED
Object Innvik E1149873 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: Innvik | Statement: [Stryn Municipality, containsSettlement, Innvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innvik
Context triple: [Stryn Municipality, containsSettlement, Innvik]
  • A. Innvik chosen
    Innvik is a small village in Vestland county, Norway, situated along the Nordfjorden and known for its scenic fjord landscape and traditional rural character.
  • 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. 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.
  • D. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • E. Innhavet
    Innhavet is a small coastal village in Nordland county, northern Norway, known for its scenic fjord landscape and proximity to the Hamarøy region.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dce342081909cad56dc92de13a2 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5914dc81908c3b8cf999ee76a1 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.