Triple

T15575145
Position Surface form Disambiguated ID Type / Status
Subject Vik E374348 entity
Predicate administrativeCentre P1474 FINISHED
Object Vikøyri
Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
 E1174358 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: Vikøyri | Statement: [Vik, administrativeCentre, Vikøyri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vikøyri
Context triple: [Vik, administrativeCentre, Vikøyri]
  • A. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • B. Bekkjarvik
    Bekkjarvik is a small coastal village in western Norway known for its historic harbor, maritime heritage, and scenic island surroundings.
  • C. Lærdalsøyri
    Lærdalsøyri is a historic village in western Norway known for its well-preserved wooden buildings and location at the inner end of the Sognefjord.
  • D. Miðvágur
    Miðvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to the scenic Sørvágsvatn lake.
  • E. Sandsvágur
    Sandsvágur is a coastal bay area on the Faroe Islands' island of Sandoy, known for its scenic shoreline and traditional maritime setting.
  • 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: Vikøyri
Triple: [Vik, administrativeCentre, Vikøyri]
Generated description
Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vikøyri
Target entity description: Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
  • A. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • B. Bekkjarvik
    Bekkjarvik is a small coastal village in western Norway known for its historic harbor, maritime heritage, and scenic island surroundings.
  • C. Lærdalsøyri
    Lærdalsøyri is a historic village in western Norway known for its well-preserved wooden buildings and location at the inner end of the Sognefjord.
  • D. Miðvágur
    Miðvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to the scenic Sørvágsvatn lake.
  • E. Sandsvágur
    Sandsvágur is a coastal bay area on the Faroe Islands' island of Sandoy, known for its scenic shoreline and traditional maritime setting.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e56ffc81909e3228a660df4e09 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:10 a.m.