Triple

T5047430
Position Surface form Disambiguated ID Type / Status
Subject Randsfjorden E113700 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Jevnaker E422311 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: Jevnaker | Statement: [Randsfjorden, locatedInAdministrativeEntity, Jevnaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jevnaker
Context triple: [Randsfjorden, locatedInAdministrativeEntity, Jevnaker]
  • A. Jevnaker chosen
    Jevnaker is a municipality in Viken county, Norway, known for its scenic lakeside setting and the Hadeland Glassverk glassworks.
  • B. Kalsoy
    Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
  • C. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • D. Eiderstedt
    Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
  • E. Kotlas
    Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd740002b48190bc7aa176d734c589 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c9143a081909132c66eb9fc91db completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.