Triple

T5098249
Position Surface form Disambiguated ID Type / Status
Subject Ragnar Östberg E114919 entity
Predicate name P16 FINISHED
Object Ragnar Östberg E114919 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: Ragnar Östberg | Statement: [Ragnar Östberg, name, Ragnar Östberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragnar Östberg
Context triple: [Ragnar Östberg, name, Ragnar Östberg]
  • A. Ragnar Östberg chosen
    Ragnar Östberg was a prominent Swedish architect best known for designing Stockholm City Hall and for his influential role in early 20th-century Nordic architecture.
  • B. Arvid Lindman
    Arvid Lindman was a Swedish conservative politician and naval officer who served twice as Prime Minister of Sweden in the early 20th century.
  • C. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • D. Henrik Wigström
    Henrik Wigström was a renowned Finnish-born Russian goldsmith best known as one of the leading workmasters for the House of Fabergé, creating many of its famous jeweled eggs and luxury objects.
  • E. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8529ec8190bb1e97eb1044c899 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.