Triple

T15947273
Position Surface form Disambiguated ID Type / Status
Subject Olsztynek E386716 entity
Predicate germanName P6492 FINISHED
Object Hohenstein in Ostpreußen E469101 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: Hohenstein in Ostpreußen | Statement: [Olsztynek, germanName, Hohenstein in Ostpreußen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohenstein in Ostpreußen
Context triple: [Olsztynek, germanName, Hohenstein in Ostpreußen]
  • A. Hohenstein in Ostpreußen chosen
    Hohenstein in Ostpreußen was a town in former East Prussia, now Olsztynek in Poland, historically notable for its proximity to the World War I Tannenberg battlefield and memorial.
  • B. Wartenburg in Ostpreußen
    Wartenburg in Ostpreußen is the former German name of the town now known as Barczewo in northeastern Poland, historically part of East Prussia.
  • C. Landsberg in Ostpreußen
    Landsberg in Ostpreußen is the former German name of the town now known as Górowo Iławeckie in northern Poland, historically part of East Prussia.
  • D. Rosenberg in Westpreußen
    Rosenberg in Westpreußen is the former German name for the town now known as Susz in northern Poland, reflecting its historical ties to West Prussia.
  • E. Hohenstein
    Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.