Triple

T8638313
Position Surface form Disambiguated ID Type / Status
Subject Jasenitz E204578 entity
Predicate formerlyCountry P84372 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: [Jasenitz, formerlyCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germany
Context triple: [Jasenitz, formerlyCountry, 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. 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.
  • D. 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.
  • E. 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.
  • 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: formerlyCountry
Context triple: [Jasenitz, formerlyCountry, Germany]
  • A. formerCountry
    Indicates that an entity was previously recognized as a country but no longer holds that status.
  • B. laterLifeCountry
    Indicates the country in which an individual spent the later part of their life.
  • C. formationCountry
    Indicates the country in which an entity (such as an organization, company, or group) was originally formed or established.
  • D. modernCountryContains
    Indicates that a modern country geographically encompasses, within its current internationally recognized borders, the location or territory of another entity.
  • E. formerCountryOfOrigin
    Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
  • F. None of above. chosen

Provenance (5 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47944d1c819081f448f14d04bf9d completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb6855ec8190a85e5afeb656ee7d completed April 2, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69cc455d6d448190a2da2a319ac78c37 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc479284a8819099b0b0d879af3372 completed March 31, 2026, 10:15 p.m.
Created at: March 30, 2026, 6:28 p.m.