Triple

T5493039
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm Bjerknes E123746 entity
Predicate familyName P18 FINISHED
Object Bjerknes E123745 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: Bjerknes | Statement: [Vilhelm Bjerknes, familyName, Bjerknes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjerknes
Context triple: [Vilhelm Bjerknes, familyName, Bjerknes]
  • A. Bjerknes chosen
    Bjerknes is a Norwegian surname most notably associated with the influential family of physicists and meteorologists who helped found modern weather forecasting and climate science.
  • B. Rødberg
    Rødberg is a small village in southern Norway that serves as the administrative center of Nore og Uvdal municipality and a local hub for hydroelectric power production.
  • C. Barentu
    Barentu is a town in western Eritrea that serves as an important regional center in the Gash-Barka administrative region.
  • D. Nansen Sound
    Nansen Sound is a narrow Arctic waterway in the Canadian Arctic Archipelago, known for its harsh ice conditions and its role in polar exploration routes.
  • E. Nólsoy
    Nólsoy is a small, sparsely populated island in the Faroe Islands known for its traditional village, rich birdlife, and proximity to the capital, Tórshavn.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fdc7cb08190b0e5b7321213f673 completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2:10 p.m.