Triple

T16027245
Position Surface form Disambiguated ID Type / Status
Subject Vågsøy E388746 entity
Predicate hasVillage P4011 FINISHED
Object Holvik
Holvik is a small coastal village in the former municipality of Vågsøy in western Norway, known for its scenic fjordside setting and proximity to the town of Måløy.
E1192659 NE FINISHED

How this triple was built (4 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: Holvik | Statement: [Vågsøy, hasVillage, Holvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holvik
Context triple: [Vågsøy, hasVillage, Holvik]
  • A. Hellevik
    Hellevik is a small settlement located within the former municipality of Haram in Møre og Romsdal county, Norway.
  • B. Hoddevik
    Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
  • 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. Hornnes
    Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
  • E. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Holvik
Triple: [Vågsøy, hasVillage, Holvik]
Generated description
Holvik is a small coastal village in the former municipality of Vågsøy in western Norway, known for its scenic fjordside setting and proximity to the town of Måløy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Holvik
Target entity description: Holvik is a small coastal village in the former municipality of Vågsøy in western Norway, known for its scenic fjordside setting and proximity to the town of Måløy.
  • A. Hellevik
    Hellevik is a small settlement located within the former municipality of Haram in Møre og Romsdal county, Norway.
  • B. Hoddevik
    Hoddevik is a small coastal village in western Norway known for its scenic bay, sandy beach, and popularity as a surfing destination.
  • 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. Hornnes
    Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
  • E. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • F. None of above. chosen

Provenance (5 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47280448190923a36e9a41ce7bc completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe517c8f081908a1275d0adf3053d completed May 10, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ffe572be388190bb492b6f554ec808 completed May 10, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:56 a.m.