Triple

T16342090
Position Surface form Disambiguated ID Type / Status
Subject Storfjorden E396830 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Sjøholt
Sjøholt is a small coastal village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and proximity to major transport routes.
 E1208050 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: Sjøholt | Statement: [Storfjorden, hasNearbyVillage, Sjøholt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sjøholt
Context triple: [Storfjorden, hasNearbyVillage, Sjøholt]
  • A. Kjørnes
    Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
  • B. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • C. Jølstra
    Jølstra is a river in Vestland county, Norway, known for flowing from the Jostedalsbreen glacier through lakes and valleys before reaching the fjord.
  • D. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • E. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • 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: Sjøholt
Triple: [Storfjorden, hasNearbyVillage, Sjøholt]
Generated description
Sjøholt is a small coastal village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sjøholt
Target entity description: Sjøholt is a small coastal village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and proximity to major transport routes.
  • A. Kjørnes
    Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
  • B. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • C. Jølstra
    Jølstra is a river in Vestland county, Norway, known for flowing from the Jostedalsbreen glacier through lakes and valleys before reaching the fjord.
  • D. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • E. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dadcaa48190865cec201cde47e3 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002e8094e08190b168d6ae5e9de604 completed May 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_6a002f4c23e481909bf11d7329e0bd6f completed May 10, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:07 a.m.