Triple

T26692245
Position Surface form Disambiguated ID Type / Status
Subject Nobel Prize in Chemistry 1904 E672916 entity
Predicate hasNobelLaureateCitizenship P117776 FINISHED
Object United Kingdom of Great Britain and Ireland NE NERFINISHED

How this triple was built (2 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 of Great Britain and Ireland | Statement: [Nobel Prize in Chemistry 1904, hasNobelLaureateCitizenship, United Kingdom of Great Britain and Ireland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNobelLaureateCitizenship
Context triple: [Nobel Prize in Chemistry 1904, hasNobelLaureateCitizenship, United Kingdom of Great Britain and Ireland]
  • A. hasLaureateCitizenship chosen
    Indicates that a laureate holds or has held citizenship in a specified country or political entity.
  • B. hasLaureateBirthCountry
    Indicates that a laureate’s country of birth is the specified country.
  • C. hasLaureateAffiliationCountry
    Indicates that a laureate is affiliated with an institution or organization located in a specified country.
  • D. hasBiographicalSubjectCitizenship
    Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
  • E. spouseNobelPrizeCountry
    Indicates that the country referenced is associated with the Nobel Prize received by the spouse of the given person.
  • 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_69eecda2066c8190a344218afa5e89c1 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69fdd5fba5048190b7d430ae2054a1fd completed May 8, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69fdd35f76f88190a1854ea27132f9c7 completed May 8, 2026, 12:13 p.m.
Created at: April 27, 2026, 3:26 a.m.