Triple

T9764651
Position Surface form Disambiguated ID Type / Status
Subject Söderhamn Municipality E236754 entity
Predicate containsSettlement P847 FINISHED
Object Bergvik
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
 E820338 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: Bergvik | Statement: [Söderhamn Municipality, containsSettlement, Bergvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bergvik
Context triple: [Söderhamn Municipality, containsSettlement, Bergvik]
  • A. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • B. Häggvik
    Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
  • C. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • 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. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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: Bergvik
Triple: [Söderhamn Municipality, containsSettlement, Bergvik]
Generated description
Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bergvik
Target entity description: Bergvik is a small locality in central Sweden situated within Söderhamn Municipality in Gävleborg County.
  • A. Ulsteinvik
    Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
  • B. Häggvik
    Häggvik is a residential and commercial district in Sollentuna, part of the northern suburbs of Stockholm, Sweden.
  • C. Dragsvik
    Dragsvik is a Finnish military locality known for hosting a key coastal garrison of the Finnish Navy.
  • 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. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09ed54c8190a5879e14184cddf4 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf2cdd08190a051d406e199f45a completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bdfc07648190badacd2f6257601c completed April 5, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69d1beb700288190a94b730f2cc353d1 completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:25 p.m.