Triple

T20018411
Position Surface form Disambiguated ID Type / Status
Subject Sande (Møre og Romsdal) E494782 entity
Predicate administrativeCentre P1474 FINISHED
Object Larsnes
Larsnes is a village in Møre og Romsdal county, Norway, known as a local hub for maritime industries and services in the Sande area.
E1479526 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: Larsnes | Statement: [Sande (Møre og Romsdal), administrativeCentre, Larsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larsnes
Context triple: [Sande (Møre og Romsdal), administrativeCentre, Larsnes]
  • A. Lysnes
    Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
  • B. Vangsnes
    Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
  • C. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Vaksdal
    Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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: Larsnes
Triple: [Sande (Møre og Romsdal), administrativeCentre, Larsnes]
Generated description
Larsnes is a village in Møre og Romsdal county, Norway, known as a local hub for maritime industries and services in the Sande area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larsnes
Target entity description: Larsnes is a village in Møre og Romsdal county, Norway, known as a local hub for maritime industries and services in the Sande area.
  • A. Lysnes
    Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
  • B. Vangsnes
    Vangsnes is a small village in Vestland county, Norway, situated along the Sognefjorden and known for its scenic fjord landscape and agricultural surroundings.
  • C. Nissedal
    Nissedal is a rural municipality in Vestfold og Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • D. Vaksdal
    Vaksdal is a village in Vestland county, Norway, situated along the Veafjorden and known for its historic textile industry and railway connections.
  • E. Mortensrud
    Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad4449b08190bbe537d050a7d923 completed May 17, 2026, 11:57 a.m.
NEDg Description generation batch_6a09add0b7948190a68b42b0fed110fd completed May 17, 2026, noon
NED2 Entity disambiguation (via description) batch_6a09ae80cd648190a4f0bda8894fca2b completed May 17, 2026, 12:03 p.m.
Created at: April 11, 2026, 3:34 p.m.