Triple

T2759092
Position Surface form Disambiguated ID Type / Status
Subject Egon Krenz E61175 entity
Predicate servedPrisonSentenceIn P23787 FINISHED
Object Germany E1728 NE FINISHED

How this triple was built (3 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: Germany | Statement: [Egon Krenz, servedPrisonSentenceIn, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Egon Krenz, servedPrisonSentenceIn, Germany]
  • A. Germany chosen
    Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
  • B. West Germany
    West Germany was the democratic, capitalist western portion of Germany during the Cold War, which became an economic powerhouse and key NATO member after World War II.
  • C. Germany and Austria
    Germany and Austria are neighboring Central European countries that share historical, cultural, and linguistic ties, including a common use of the German language.
  • D. Germania
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedPrisonSentenceIn
Context triple: [Egon Krenz, servedPrisonSentenceIn, Germany]
  • A. servedPrisonTime chosen
    Indicates that an entity has spent a period of time incarcerated in prison as a consequence of a legal sentence.
  • B. imprisonedFor
    Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
  • C. sentencedTo
    Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
  • D. hasBeenImprisonedBy
    Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
  • E. wasImprisonedIn
    Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
  • F. None of above.

Provenance (4 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb8d34f88190a760111fe303cf24 completed March 7, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d1c73d88190b4e871b9876e1a52 completed March 10, 2026, 1:31 p.m.
PD Predicate disambiguation batch_69abd82de7f48190acd614f28644c6da completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:57 p.m.