Triple

T8840660
Position Surface form Disambiguated ID Type / Status
Subject Freq Nasty E210381 entity
Predicate countryOfCareer P79304 FINISHED
Object United Kingdom E732 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: United Kingdom | Statement: [Freq Nasty, countryOfCareer, United Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Kingdom
Context triple: [Freq Nasty, countryOfCareer, United Kingdom]
  • A. United Kingdom chosen
    The United Kingdom is a sovereign country in northwestern Europe comprising England, Scotland, Wales, and Northern Ireland, known for its parliamentary democracy, global cultural influence, and historic role in world affairs.
  • B. Great Britain
    Great Britain is the name used by the United Kingdom’s athletes competing together as a single national team at the Olympic Games.
  • C. Great Britain
    Great Britain is the large island comprising England, Scotland, and Wales, historically central to the development of the United Kingdom and the British Empire.
  • D. Bretanha
    Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
  • E. England
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • 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: countryOfCareer
Context triple: [Freq Nasty, countryOfCareer, United Kingdom]
  • A. countryOfEmployer
    Indicates the country in which the employer of a given person or entity is based.
  • B. countryOfCollegeCareer
    Indicates the country in which a person’s college or university career took place.
  • C. countryOfNotableWork
    Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
  • D. countryOfClubCareer chosen
    Indicates the country in which an entity’s club-level sports career took place or is associated.
  • E. designationCountry
    Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6085fe24819095139f18da92d7e7 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d12cb212808190af26adc154006d52 completed April 4, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:48 p.m.