Triple

T6982873
Position Surface form Disambiguated ID Type / Status
Subject Marie von Bismarck E161888 entity
Predicate residence P75 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: [Marie von Bismarck, residence, Friedrichsruh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrichsruh
Context triple: [Marie von Bismarck, residence, 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. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • E. 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.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db8fdad481908f211a8b333714bd completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad70f09881909f1a03f295486942 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:31 p.m.