Triple

T1361657
Position Surface form Disambiguated ID Type / Status
Subject Otto von Bismarck E29110 entity
Predicate placeOfDeath P21 FINISHED
Object Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
 E213853 NE FINISHED

How this triple was built (4 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, placeOfDeath, Friedrichsruh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friedrichsruh
Context triple: [Otto von Bismarck, placeOfDeath, Friedrichsruh]
  • A. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • B. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • C. Wernigerode
    Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
  • D. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • E. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Friedrichsruh
Triple: [Otto von Bismarck, placeOfDeath, Friedrichsruh]
Generated description
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Friedrichsruh
Target entity description: Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • A. Hasselwerder
    Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
  • B. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • C. Wernigerode
    Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
  • D. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • E. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • F. None of above. chosen

Provenance (5 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab9dd008190a07b22ba3bd5bc22 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb503ec88190b8d0cb17bbb8f520 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adef13e030819086e9e8862198d859 completed March 8, 2026, 9:50 p.m.
Created at: March 1, 2026, 7:57 p.m.