Triple

T18113738
Position Surface form Disambiguated ID Type / Status
Subject Lier E433544 entity
Predicate partOf P40 FINISHED
Object Greater Drammen 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 Drammen region | Statement: [Lier, partOf, Greater Drammen region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Drammen region
Context triple: [Lier, partOf, Greater Drammen region]
  • A. Drammensregionen chosen
    Drammensregionen is a metropolitan area in southeastern Norway centered around the city of Drammen and its surrounding municipalities.
  • B. 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.
  • C. 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.
  • D. Drammen urban area
    Drammen urban area is a contiguous metropolitan region in southeastern Norway centered on the city of Drammen and encompassing several surrounding towns and suburbs.
  • E. 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.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.