Triple

T17726348
Position Surface form Disambiguated ID Type / Status
Subject Drammensregionen E442470 entity
Predicate containsMunicipality P852 FINISHED
Object Nedre Eiker 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: Nedre Eiker | Statement: [Drammensregionen, containsMunicipality, Nedre Eiker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedre Eiker
Context triple: [Drammensregionen, containsMunicipality, Nedre Eiker]
  • A. Nedre Eiker chosen
    Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
  • B. Øvre Eiker
    Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
  • C. Bekkestua
    Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
  • D. Vålebru
    Vålebru is a village in Innlandet county, Norway, serving as the main local hub for services and administration in Ringebu municipality.
  • E. Vesleåe
    Vesleåe is a small river in Norway that serves as one of the tributaries feeding the mountain lake Gjende in Jotunheimen.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e25a80819096289fba4ecb227f completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 10:07 a.m.