Triple

T6622796
Position Surface form Disambiguated ID Type / Status
Subject Hermine Reuss of Greiz E149717 entity
Predicate marriagePlace P128 FINISHED
Object Schoenaich, Silesia E345880 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: Schoenaich, Silesia | Statement: [Hermine Reuss of Greiz, marriagePlace, Schoenaich, Silesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schoenaich, Silesia
Context triple: [Hermine Reuss of Greiz, marriagePlace, Schoenaich, Silesia]
  • A. Cieszyn Silesia
    Cieszyn Silesia is a historical and ethnically diverse borderland region centered around the city of Cieszyn, spanning areas of present-day Poland and the Czech Republic.
  • B. Camenz, Silesia chosen
    Camenz, Silesia was a historical estate in the Silesian region of Central Europe, notable as a noble residence associated with European royalty.
  • C. Cieszyn
    Cieszyn is a historic town in southern Poland on the Olza River, known for its shared Polish-Czech heritage and well-preserved old town.
  • D. Lower Silesia
    Lower Silesia is a historical region in southwestern Poland known for its capital Wrocław, rich cultural heritage, and varied landscapes including mountains, forests, and spa towns.
  • E. Tychy, Poland
    Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.