Triple

T3081375
Position Surface form Disambiguated ID Type / Status
Subject EuroTech Universities Alliance E64262 entity
Predicate countryOfMember P19946 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: [EuroTech Universities Alliance, countryOfMember, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [EuroTech Universities Alliance, countryOfMember, 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: countryOfMember
Context triple: [EuroTech Universities Alliance, countryOfMember, Germany]
  • A. countryOfOriginOfMembers chosen
    Indicates that one entity is the country from which the members of another entity originate.
  • B. constituentCountry
    Indicates that one country is a constituent (member) country forming part of a larger sovereign or federal state.
  • C. countryJoined
    Indicates that a country became a member of, or formally entered into, a specific organization, union, alliance, or agreement.
  • D. countryMembers
    Indicates that certain entities are members or constituent parts of a specified country.
  • E. UNMemberState
    Indicates that a country is a recognized member state of the United Nations.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402aaef8c81909dd5cadd72b5d209 completed March 13, 2026, 12:27 p.m.
PD Predicate disambiguation batch_69ad9debb6308190be28378ae1fc98af completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.