Triple

T724038
Position Surface form Disambiguated ID Type / Status
Subject E14681 entity
Predicate introducedInCountry P18098 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: [FÜ, introducedInCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [FÜ, introducedInCountry, 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: introducedInCountry
Context triple: [FÜ, introducedInCountry, Germany]
  • A. launchedInCountry chosen
    Indicates that an entity (such as a product, service, or mission) was officially initiated, introduced, or started within a specified country.
  • B. displayedInCountry
    Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
  • C. usedInCountry
    Indicates that something is utilized, applied, or in operation within the specified country.
  • D. discoveredInCountry
    Indicates that something was discovered within the geographical boundaries or jurisdiction of a specified country.
  • E. soldInCountry
    Indicates that a product or item is offered for sale or has been sold within a specified country.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a6ab508190b70a05a9d77829a5 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b91124c819099303f579c31677b completed March 7, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69a4a4f700cc81908c6de3eedf68433c completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.