Triple

T17744692
Position Surface form Disambiguated ID Type / Status
Subject Peer Jacob Svenkerud E442956 entity
Predicate familyName P18 FINISHED
Object Svenkerud
Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
 E1286341 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: Svenkerud | Statement: [Peer Jacob Svenkerud, familyName, Svenkerud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Svenkerud
Context triple: [Peer Jacob Svenkerud, familyName, Svenkerud]
  • A. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • B. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • C. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Norlén
    Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • 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: Svenkerud
Triple: [Peer Jacob Svenkerud, familyName, Svenkerud]
Generated description
Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Svenkerud
Target entity description: Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
  • A. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • B. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • C. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, Norway.
  • D. Norlén
    Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad0c5b481909059bfa868cc4001 completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efb26bd88190a07e9891f70559c8 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f13826388190843c9844011b5824 completed May 12, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1a8e3d4819096050f66a4e0563b completed May 12, 2026, 9:23 a.m.
Created at: April 10, 2026, 10:09 a.m.