Triple

T2820837
Position Surface form Disambiguated ID Type / Status
Subject May Field E54803 entity
Predicate hasOlympicCountry P43522 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: [May Field, hasOlympicCountry, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Germany
Context triple: [May Field, hasOlympicCountry, 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: hasOlympicCountry
Context triple: [May Field, hasOlympicCountry, Germany]
  • A. OlympicStatus
    Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
  • B. hasOlympicFunction
    Indicates that an entity serves a specific role, duty, or function within the context of the Olympic Games or Olympic movement.
  • C. OlympicGamesParticipated
    Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
  • D. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • E. olympicHostCountry
    Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d1c73d88190b4e871b9876e1a52 completed March 10, 2026, 1:31 p.m.
PD Predicate disambiguation batch_69abdd08f2f481908c3da8a9c7a00552 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abdf13d2b8819097b8edaaea90dbe2 completed March 7, 2026, 8:17 a.m.
Created at: March 6, 2026, 9:59 p.m.