Triple

T23106227
Position Surface form Disambiguated ID Type / Status
Subject Gerhardt E576174 entity
Predicate hasPrimaryUsageCountry P135380 FINISHED
Object Germany NE NERFINISHED

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: [Gerhardt, hasPrimaryUsageCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Gerhardt, hasPrimaryUsageCountry, 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. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • C. Germany B
    Germany B is the secondary national football team of Germany, typically used to develop and evaluate players on the fringe of the senior national squad.
  • D. 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.
  • E. 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.
  • 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: hasPrimaryUsageCountry
Context triple: [Gerhardt, hasPrimaryUsageCountry, Germany]
  • A. hasPrimaryCountryCode
    Indicates that an entity is associated with its main or officially designated country code.
  • B. hasPrimaryExchangeCountryCode
    Indicates the country code of the main securities exchange on which an entity is primarily listed or traded.
  • C. primaryUseCountry chosen
    Indicates the country in which something is primarily used or most commonly utilized.
  • D. usedForCountry
    Indicates that something is used for, or serves a purpose related to, a specific country.
  • E. hasPrimaryGameRegion
    Indicates that an entity is associated with a main or principal geographic region in which a game is released, played, or targeted.
  • F. None of above.

Provenance (3 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0bb27c8190a17942d9b88bb158 completed April 29, 2026, 4:50 a.m.
PD Predicate disambiguation batch_69ef89f020588190b43393e048e7eda3 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:58 p.m.