Triple

T6621880
Position Surface form Disambiguated ID Type / Status
Subject Hokksund E149693 entity
Predicate locatedIn P40 FINISHED
Object Øvre Eiker E158498 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: Øvre Eiker | Statement: [Hokksund, locatedIn, Øvre Eiker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Øvre Eiker
Context triple: [Hokksund, locatedIn, Øvre Eiker]
  • A. Øvre Eiker chosen
    Øvre Eiker is a rural municipality in Buskerud county, Norway, known for its forests, rivers, and traditional agricultural landscape.
  • B. Nedre Eiker
    Nedre Eiker is a former municipality in Buskerud county, Norway, known for its riverside settlements and industrial heritage along the Drammenselva river.
  • C. Bjerkreim
    Bjerkreim is a rural municipality in southwestern Norway known for its rivers, salmon fishing, and agricultural landscape.
  • D. Kjelsås
    Kjelsås is a residential neighborhood in northern Oslo, Norway, known for its hilly terrain, proximity to Marka forest, and access to the city via tram and rail connections.
  • E. Ringerike
    Ringerike is a historic district and municipality in southeastern Norway known for its rich Viking-age heritage and distinctive cultural traditions.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861218ac081909798edadae16162f completed March 28, 2026, 11:15 p.m.
Created at: March 27, 2026, 1:58 p.m.