Triple

T21424353
Position Surface form Disambiguated ID Type / Status
Subject وزارة الدفاع E528514 entity
Predicate نوع_الوزارة P12182 FINISHED
Object وزارة سيادية 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: وزارة سيادية | Statement: [وزارة الدفاع, نوع_الوزارة, وزارة سيادية]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: نوع_الوزارة
Context triple: [وزارة الدفاع, نوع_الوزارة, وزارة سيادية]
  • A. typeOfMinistry chosen
    Indicates the specific category or kind of ministry that an entity belongs to or represents.
  • B. ministerialDepartmentOf
    Indicates that one entity is a ministerial department that is formally part of, and subordinate to, another governing body or jurisdiction.
  • C. methodOfMinistry
    Indicates the specific way or approach through which ministry or religious service is carried out.
  • D. typeOfMinister
    Indicates the specific governmental or religious office or role that a particular minister holds.
  • E. scopeOfMinistry
    Indicates the range of responsibilities, activities, or areas of authority covered by a particular ministry or ministerial role.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813b798c8190a379cbf6cc6e14d2 completed April 26, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e61639ee288190889ffd500d1260f6 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:48 p.m.