Triple

T1049570
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Bahn E22662 entity
Predicate railwayCompanyOf P5620 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: [Deutsche Bahn, railwayCompanyOf, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Deutsche Bahn, railwayCompanyOf, 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: railwayCompanyOf
Context triple: [Deutsche Bahn, railwayCompanyOf, Germany]
  • A. railwayCompany chosen
    Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
  • B. railwayCarriageOwner
    Indicates that one entity is the owner or legal possessor of a particular railway carriage.
  • C. servedByRailroad
    Indicates that a location or facility is provided with transportation or service by a railroad line or company.
  • D. railServiceType
    Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
  • E. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • 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_69a4b8f28c7c8190b9ca3749666bcbf3 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea8034cf0819089240d70f0a346a6 completed March 9, 2026, 10:59 a.m.
PD Predicate disambiguation batch_69a4b72e3e488190b768005ad647886b completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.