Triple

T3250433
Position Surface form Disambiguated ID Type / Status
Subject Weiss E68163 entity
Predicate typicalOriginCountry P26 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: [Weiss, typicalOriginCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Weiss, typicalOriginCountry, 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: typicalOriginCountry
Context triple: [Weiss, typicalOriginCountry, Germany]
  • A. countryOfOrigin chosen
    Indicates the country from which an entity originally comes or was first produced, created, or established.
  • B. laterCountryOfOrigin
    Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
  • C. placeOfOrigin
    Indicates the location or source from which an entity originally comes or was created.
  • D. formerCountryOfOrigin
    Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
  • E. typicalCountryIncluded
    Indicates that a country is commonly or characteristically included within a given grouping, context, or set.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402aaef8c81909dd5cadd72b5d209 completed March 13, 2026, 12:27 p.m.
PD Predicate disambiguation batch_69ada41837e48190933572165be0ca38 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:09 p.m.