Triple

T9517711
Position Surface form Disambiguated ID Type / Status
Subject Greater Oslo Region E229565 entity
Predicate contains P35 FINISHED
Object Drammensregionen E442470 NE FINISHED

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: Drammensregionen | Statement: [Greater Oslo Region, contains, Drammensregionen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drammensregionen
Context triple: [Greater Oslo Region, contains, Drammensregionen]
  • A. Drammensregionen chosen
    Drammensregionen is a metropolitan area in southeastern Norway centered around the city of Drammen and its surrounding municipalities.
  • B. Gjøvik Region
    Gjøvik Region is a regional area in Innlandet county, Norway, centered around the town of Gjøvik and its surrounding municipalities.
  • C. Greater Oslo Region
    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.
  • D. Lillestrøm region
    The Lillestrøm region is an area in Norway centered around the town of Lillestrøm, known for its strong football culture and local support for clubs such as LSK Kvinner FK.
  • E. Akershus area
    Akershus area is a historic fortified district in Oslo, Norway, centered around the medieval Akershus Fortress that has long served as a key military and administrative stronghold.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c183fa08190a28610045306db6d completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:59 p.m.