Triple

T21129598
Position Surface form Disambiguated ID Type / Status
Subject Roskilde Municipality E520650 entity
Predicate contains P35 FINISHED
Object Gundsømagle
Gundsømagle is a village in eastern Denmark known as a small local community within the Zealand region.
E1467348 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: Gundsømagle | Statement: [Roskilde Municipality, contains, Gundsømagle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gundsømagle
Context triple: [Roskilde Municipality, contains, Gundsømagle]
  • A. Grødem
    Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Straumgjerde
    Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
  • D. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • E. Mårslet
    Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
  • 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: Gundsømagle
Triple: [Roskilde Municipality, contains, Gundsømagle]
Generated description
Gundsømagle is a village in eastern Denmark known as a small local community within the Zealand region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gundsømagle
Target entity description: Gundsømagle is a village in eastern Denmark known as a small local community within the Zealand region.
  • A. Grødem
    Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Straumgjerde
    Straumgjerde is a village in Sykkylven Municipality in Møre og Romsdal county, Norway, known for its scenic fjord-side setting amid steep mountains.
  • D. Drongen
    Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
  • E. Mårslet
    Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965f0041881909f841d5330b1aad0 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966879f08819096d6e9e7abe902c5 completed May 17, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_6a09670fc80c81909cbce03b5e071428 completed May 17, 2026, 6:58 a.m.
Created at: April 16, 2026, 2:56 p.m.