Triple

T10635747
Position Surface form Disambiguated ID Type / Status
Subject Nesodden E250574 entity
Predicate hasSettlement P1068 FINISHED
Object Hellvik
Hellvik is a small settlement in Nesodden municipality in Viken county, Norway, situated along the Oslofjord.
 E823884 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: Hellvik | Statement: [Nesodden, hasSettlement, Hellvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hellvik
Context triple: [Nesodden, hasSettlement, Hellvik]
  • A. Hellvik
    Hellvik is a small coastal village in southwestern Norway, located within Eigersund municipality in Rogaland county.
  • B. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • C. Vestre Toten
    Vestre Toten is a municipality in Innlandet county, Norway, known for its mix of rural landscapes, small towns, and industrial activity.
  • D. Storvik
    Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
  • E. Helheim
    Helheim is the cold, misty underworld realm in Norse mythology ruled by the goddess Hel, where many of the dead reside.
  • 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: Hellvik
Triple: [Nesodden, hasSettlement, Hellvik]
Generated description
Hellvik is a small settlement in Nesodden municipality in Viken county, Norway, situated along the Oslofjord.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hellvik
Target entity description: Hellvik is a small settlement in Nesodden municipality in Viken county, Norway, situated along the Oslofjord.
  • A. Hellvik chosen
    Hellvik is a small coastal village in southwestern Norway, located within Eigersund municipality in Rogaland county.
  • B. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • C. Vestre Toten
    Vestre Toten is a municipality in Innlandet county, Norway, known for its mix of rural landscapes, small towns, and industrial activity.
  • D. Storvik
    Storvik is a locality in Gävleborg County, Sweden, known historically as a railway junction and small industrial community.
  • E. Helheim
    Helheim is the cold, misty underworld realm in Norse mythology ruled by the goddess Hel, where many of the dead reside.
  • F. None of above.

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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bc57a8081908abd73f4273d0666 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:03 p.m.