Triple

T1591645
Position Surface form Disambiguated ID Type / Status
Subject Resolute Support Mission E34189 entity
Predicate contributingCountry P835 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: [Resolute Support Mission, contributingCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Resolute Support Mission, contributingCountry, 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: contributingCountry
Context triple: [Resolute Support Mission, contributingCountry, Germany]
  • A. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • B. benefitedCountry
    Indicates that one country gains an advantage, profit, or positive outcome from an action, event, or entity associated with another.
  • C. relatedCountry chosen
    Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
  • D. proposedByCountry
    Indicates that a proposal, initiative, or measure was formally put forward or initiated by a specific country.
  • E. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93aedd45c819085843ac843d640e8 completed March 5, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea80b1190819097b812a3fa5020f0 completed March 9, 2026, 10:59 a.m.
PD Predicate disambiguation batch_69a907bdc19081908c84c5c0aa09e282 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.