Triple

T4507992
Position Surface form Disambiguated ID Type / Status
Subject Petr Fiala E101979 entity
Predicate startTime (Minister of Education, Youth and Sports) P21906 FINISHED
Object 2012-05-02 LITERAL FINISHED

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: 2012-05-02 | Statement: [Petr Fiala, startTime (Minister of Education, Youth and Sports), 2012-05-02]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startTime (Minister of Education, Youth and Sports)
Context triple: [Petr Fiala, startTime (Minister of Education, Youth and Sports), 2012-05-02]
  • A. officeStartForMinisterOfEducation chosen
    Indicates the date or point in time when a person begins serving as the Minister of Education.
  • B. startTime (Minister to the UK)
    Indicates the date and time at which the person began serving in the role of Minister to the UK.
  • C. hasEducationalMinistry
    Indicates that an entity maintains or is associated with a ministry or department responsible for education-related functions or policies.
  • D. officeEndForMinisterOfEducation
    Indicates the point in time or event at which a person's term as Minister of Education comes to an end.
  • E. termStartAsMinisterGeneral
    Indicates the date or point in time when an individual begins serving in the role of Minister General.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570f9b1c8190b52ace855dbf6641 completed March 20, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69bd5218afb4819087c99e0a1f22e137 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:01 p.m.