Triple

T19833413
Position Surface form Disambiguated ID Type / Status
Subject Second Kok cabinet E476520 entity
Predicate healthWelfareSportMinister P111675 FINISHED
Object Els Borst 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: Els Borst | Statement: [Second Kok cabinet, healthWelfareSportMinister, Els Borst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Els Borst
Context triple: [Second Kok cabinet, healthWelfareSportMinister, Els Borst]
  • A. Els Borst chosen
    Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
  • B. Bosseborn
    Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Boalsert
    Boalsert is the West Frisian name for the historic Dutch city of Bolsward in the province of Friesland.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Bronsteyn
    Bronsteyn is a surname, likely a variant or related form of the Jewish surname Bronshteyn (often spelled Bronstein).
  • 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: healthWelfareSportMinister
Context triple: [Second Kok cabinet, healthWelfareSportMinister, Els Borst]
  • A. healthSecretary chosen
    Indicates that one entity serves as the health secretary (or equivalent health minister/official) of another entity, typically a government or administrative body.
  • B. ministerIs
    Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
  • C. economicDevelopmentMinister
    Indicates that one entity serves as the economic development minister (or holds the ministerial role responsible for economic development) in relation to another entity, such as a government or country.
  • D. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • E. transportMinister
    Indicates that one entity serves as the transport minister (i.e., the government official responsible for transportation matters) of another entity, typically a country or region.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0347c8190b586c7fe01b61e97 completed April 20, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69e5305bda388190a23b7191768107b1 completed April 19, 2026, 7:43 p.m.
Created at: April 10, 2026, 1:50 p.m.