Triple

T14391883
Position Surface form Disambiguated ID Type / Status
Subject Wenceslaus IV of Bohemia E356862 entity
Predicate mother P120 FINISHED
Object Anna of Schweidnitz E1119758 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: Anna of Schweidnitz | Statement: [Wenceslaus IV of Bohemia, mother, Anna of Schweidnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna of Schweidnitz
Context triple: [Wenceslaus IV of Bohemia, mother, Anna of Schweidnitz]
  • A. Elisabeth of Wrocław
    Elisabeth of Wrocław was a 13th-century Silesian Piast duchess and Polish noblewoman, notable as the mother of King Przemysł II of Poland.
  • B. Anna of Vartenberk
    Anna of Vartenberk was a Bohemian noblewoman best known as the mother of George of Poděbrady, the 15th-century King of Bohemia.
  • C. Anna of Svidnica chosen
    Anna of Svidnica was a 14th-century Silesian Piast duchess and member of the Bohemian royal family through her marriage to Charles, Duke of Görlitz.
  • D. Anna of Prussia
    Anna of Prussia was a late 16th- and early 17th-century duchess of Prussia and Brandenburg whose marriage helped unite the Hohenzollern and Prussian ducal lines.
  • E. Elisabeth of Görlitz
    Elisabeth of Görlitz was a 15th-century noblewoman who became Duchess of Luxembourg and played a key role in the region’s dynastic politics.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fef883f2b88190807d9157e8d45e3c completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 1:16 a.m.