Triple

T18029425
Position Surface form Disambiguated ID Type / Status
Subject Sandvika–Oslo road E431345 entity
Predicate serves P98 FINISHED
Object Greater Oslo region NE NERFINISHED

How this triple was built (2 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: Greater Oslo region | Statement: [Sandvika–Oslo road, serves, Greater Oslo region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Oslo region
Context triple: [Sandvika–Oslo road, serves, Greater Oslo region]
  • A. Greater Oslo Region chosen
    The Greater Oslo Region is the metropolitan area surrounding Norway’s capital, encompassing Oslo and its neighboring municipalities as a unified economic and commuter region.
  • B. Drammensregionen
    Drammensregionen is a metropolitan area in southeastern Norway centered around the city of Drammen and its surrounding municipalities.
  • C. Bergen region
    The Bergen region is a coastal metropolitan area in western Norway centered on the city of Bergen and its surrounding islands and municipalities.
  • D. Western Oslo
    Western Oslo is the affluent western part of Norway’s capital, known for its upscale residential districts, green areas, and high standard of living.
  • E. Northern Oslo
    Northern Oslo is the outer northern part of Norway’s capital, characterized by residential neighborhoods, forested hills, and access to recreational areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be347f6c8190b324fe74b7dc1764 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.