Triple

T16027243
Position Surface form Disambiguated ID Type / Status
Subject Vågsøy E388746 entity
Predicate hasVillage P4011 FINISHED
Object Refvik
Refvik is a small coastal village in the municipality of Vågsøy in western Norway, known for its scenic sandy beach and surrounding mountainous landscape.
E1190531 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: Refvik | Statement: [Vågsøy, hasVillage, Refvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Refvik
Context triple: [Vågsøy, hasVillage, Refvik]
  • A. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • 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. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • D. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • E. Lugnvik
    Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
  • 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: Refvik
Triple: [Vågsøy, hasVillage, Refvik]
Generated description
Refvik is a small coastal village in the municipality of Vågsøy in western Norway, known for its scenic sandy beach and surrounding mountainous landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Refvik
Target entity description: Refvik is a small coastal village in the municipality of Vågsøy in western Norway, known for its scenic sandy beach and surrounding mountainous landscape.
  • A. Fresvik
    Fresvik is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and fruit farming.
  • 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. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • D. Vanylven
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • E. Lugnvik
    Lugnvik is a residential area and locality within Östersund Municipality in central Sweden, known for its proximity to Lake Storsjön and the city of Östersund.
  • 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_69ffdbcfd39c81909bfddfe95f9ad7d2 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc813208819088519396fa5298a6 completed May 10, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69ffdced694c8190a196ae36e5d6a99e completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.