Triple

T8002701
Position Surface form Disambiguated ID Type / Status
Subject Bærum E186288 entity
Predicate hasSettlement P1068 FINISHED
Object Rykkinn
Rykkinn is a suburban residential area in the municipality of Bærum in Viken county, Norway, known for its apartment blocks, schools, and local shopping center.
 E704207 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: Rykkinn | Statement: [Bærum, hasSettlement, Rykkinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rykkinn
Context triple: [Bærum, hasSettlement, Rykkinn]
  • A. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • B. Kampen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • C. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • D. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • E. Rakkasans
    Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
  • 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: Rykkinn
Triple: [Bærum, hasSettlement, Rykkinn]
Generated description
Rykkinn is a suburban residential area in the municipality of Bærum in Viken county, Norway, known for its apartment blocks, schools, and local shopping center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rykkinn
Target entity description: Rykkinn is a suburban residential area in the municipality of Bærum in Viken county, Norway, known for its apartment blocks, schools, and local shopping center.
  • A. Rycken
    Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
  • B. Kampen
    Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
  • C. Kampen
    Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
  • D. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • E. Rakkasans
    Rakkasans is the distinctive nickname of the 3rd Brigade Combat Team of the U.S. Army’s 101st Airborne Division, renowned for its airborne and air assault operations.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe121b0ac81908b9da58cf14c8df5 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.