Triple

T6822843
Position Surface form Disambiguated ID Type / Status
Subject Otto von Bismarck E156941 entity
Predicate deathPlace P21 FINISHED
Object Friedrichsruh E213853 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: Friedrichsruh | Statement: [Otto von Bismarck, deathPlace, Friedrichsruh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichsruh
Context triple: [Otto von Bismarck, deathPlace, Friedrichsruh]
  • A. Friedrichsruh chosen
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • B. Birkenwerder
    Birkenwerder is a small municipality in the German state of Brandenburg, located just north of Berlin and known for its residential character and surrounding forests.
  • C. Treuenbrietzen
    Treuenbrietzen is a historic town in the German state of Brandenburg, known for its medieval architecture and role in Reformation-era history.
  • D. Othmarschen
    Othmarschen is a residential district in the west of Hamburg, Germany, known for its affluent neighborhoods, green spaces, and location along the Elbe River.
  • E. Heringsdorf
    Heringsdorf is a seaside resort town on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its historic pier and spa architecture.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d57f69cc8190bbd08a8d447e616f completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b244008190b0b373a67799ffa1 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:17 p.m.