Triple

T2796319
Position Surface form Disambiguated ID Type / Status
Subject Feridun Zaimoglu E53044 entity
Predicate notableWork P4 FINISHED
Object Ruß
"Ruß" is a literary work by contemporary German-Turkish author Feridun Zaimoglu, known for its exploration of identity, migration, and marginalized voices in German society.
 E299438 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: Ruß | Statement: [Feridun Zaimoglu, notableWork, Ruß]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruß
Context triple: [Feridun Zaimoglu, notableWork, Ruß]
  • A. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • B. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • C. Belorusskaya
    Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
  • D. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • E. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • 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: Ruß
Triple: [Feridun Zaimoglu, notableWork, Ruß]
Generated description
"Ruß" is a literary work by contemporary German-Turkish author Feridun Zaimoglu, known for its exploration of identity, migration, and marginalized voices in German society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruß
Target entity description: "Ruß" is a literary work by contemporary German-Turkish author Feridun Zaimoglu, known for its exploration of identity, migration, and marginalized voices in German society.
  • A. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • B. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • C. Belorusskaya
    Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
  • D. Rus'
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • E. Rasshua
    Rasshua is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and active stratovolcano.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc6646c2c81908157d8f03cb8376d completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc70a4e008190a846d23e1aa73bb1 completed March 10, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69afc792051c8190b8c95156e5fcfe2f completed March 10, 2026, 7:26 a.m.
Created at: March 6, 2026, 9:58 p.m.