Triple

T3682458
Position Surface form Disambiguated ID Type / Status
Subject Stockholm City Hall E78141 entity
Predicate architect P184 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: [Stockholm City Hall, architect, Ragnar Östberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragnar Östberg
Context triple: [Stockholm City Hall, architect, 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. Stig Strömholm
    Stig Strömholm is a Swedish legal scholar, author, and academic leader who served as a prominent rector of Uppsala University.
  • C. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • D. Olle Wästberg
    Olle Wästberg is a Swedish journalist, liberal politician, and former director-general of the Swedish Institute known for his influential roles in media, politics, and public diplomacy.
  • E. Bertil Ohlsson
    Bertil Ohlsson is a film producer best known for his work on the acclaimed drama "What's Eating Gilbert Grape."
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4948cc48190ab1f59cc4a2437cc completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3b306c081909b3857daa4f97ce2 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.