Triple

T1650230
Position Surface form Disambiguated ID Type / Status
Subject Peter Zumthor E35673 entity
Predicate KolumbaMuseumCountry P28144 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: [Peter Zumthor, KolumbaMuseumCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Germany
Context triple: [Peter Zumthor, KolumbaMuseumCountry, 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: KolumbaMuseumCountry
Context triple: [Peter Zumthor, KolumbaMuseumCountry, Germany]
  • A. UNESCOWorldHeritageStateParty
    Indicates that a state is officially recognized as a State Party to the UNESCO World Heritage Convention, participating in and bound by its provisions regarding World Heritage sites.
  • B. exhibitedCountry chosen
    Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
  • C. countryOfUNESCOProperty
    Indicates the country that has jurisdiction over or is officially associated with a given UNESCO property.
  • D. hasMemorialMuseum
    Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
  • E. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb39f627c8190b9961cfeb4b257ca completed March 9, 2026, 11:48 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.