Triple

T33793557
Position Surface form Disambiguated ID Type / Status
Subject ولي عهد المملكة العربية السعودية E866002 entity
Predicate قد_يتولى_منصب P30087 FINISHED
Object رئيس مجلس الوزراء 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: رئيس مجلس الوزراء | Statement: [ولي عهد المملكة العربية السعودية, قد_يتولى_منصب, رئيس مجلس الوزراء]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: قد_يتولى_منصب
Context triple: [ولي عهد المملكة العربية السعودية, قد_يتولى_منصب, رئيس مجلس الوزراء]
  • A. assumesDutiesOf
    Indicates that one entity takes over and begins performing the responsibilities or role previously held by another entity.
  • B. canAssumeOfficeOf chosen
    Indicates that one entity is eligible or authorized to take on, enter into, or begin serving in a particular official position or role held by another entity.
  • C. mayBeAppointedDuring
    Indicates that one entity has the possibility or authority to be appointed during the time period, event, or condition specified by another entity.
  • D. appointedAs
    Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
  • E. tookPositionOn
    Indicates that an entity expressed or adopted a specific stance, opinion, or viewpoint regarding a particular issue, topic, or subject.
  • 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc59518081908b0275f47721d561 completed May 3, 2026, 7:42 a.m.
Created at: May 1, 2026, 1:45 a.m.