Triple

T1050061
Position Surface form Disambiguated ID Type / Status
Subject TMV E22674 entity
Predicate hasUnderlyingCompanyHeadquartersCountry P6746 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: [TMV, hasUnderlyingCompanyHeadquartersCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [TMV, hasUnderlyingCompanyHeadquartersCountry, 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: hasUnderlyingCompanyHeadquartersCountry
Context triple: [TMV, hasUnderlyingCompanyHeadquartersCountry, Germany]
  • A. countryOfUnderlyingCompany chosen
    Indicates the country in which the underlying company associated with an entity is legally established or primarily based.
  • B. countryOfHeadquartersOfEmployer
    Indicates the country where the employing organization’s main headquarters is located.
  • C. locationOfUnderlyingCompany
    Indicates the geographic place where the underlying company is based, registered, or operates.
  • D. hasHeadquartersType
    Indicates the specific kind or classification of headquarters associated with an entity.
  • E. hasParentCompanyHeadquarters
    Indicates that a company’s parent organization has its main headquarters located at a specified place.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b91124c819099303f579c31677b completed March 7, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69a4b7309cc481908ed839b0b8d75dbf completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.