Triple

T14816989
Position Surface form Disambiguated ID Type / Status
Subject Randaberg E348342 entity
Predicate hasSettlement P1068 FINISHED
Object 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.
E1122524 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: Grødem | Statement: [Randaberg, hasSettlement, Grødem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grødem
Context triple: [Randaberg, hasSettlement, Grødem]
  • A. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • B. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • C. Grimmen
    Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
  • D. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • E. Gröde
    Gröde is a tiny, sparsely populated Hallig island in the North Frisian archipelago off the coast of Germany, known for its unique tidal landscape and traditional way of life.
  • 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: Grødem
Triple: [Randaberg, hasSettlement, Grødem]
Generated description
Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grødem
Target entity description: Grødem is a coastal village in Randaberg municipality in Rogaland county, Norway, known for its residential areas and proximity to the city of Stavanger.
  • A. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • B. Grossgrunden
    Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
  • C. Grimmen
    Grimmen is a small town in northeastern Germany’s Mecklenburg-Vorpommern state, known for its historic center and location near the Baltic Sea coast.
  • D. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • E. Gröde
    Gröde is a tiny, sparsely populated Hallig island in the North Frisian archipelago off the coast of Germany, known for its unique tidal landscape and traditional way of life.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe3897691c819085ef89480e730723 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5178e8b481909c88ee7db29f037c completed May 8, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fe5217512c8190b0cea476f4b95007 completed May 8, 2026, 9:13 p.m.
Created at: April 10, 2026, 1:50 a.m.