Triple

T7568637
Position Surface form Disambiguated ID Type / Status
Subject Syrian Air Force Academy E179182 entity
Predicate hasStudentRole P29232 FINISHED
Object cadet 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: cadet | Statement: [Syrian Air Force Academy, hasStudentRole, cadet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStudentRole
Context triple: [Syrian Air Force Academy, hasStudentRole, cadet]
  • A. hasStudentEnrollment
    Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
  • B. hasStudentCategory chosen
    Indicates that an entity is classified under a specific category or type of student.
  • C. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • D. hasStudentSection
    Indicates that an entity (such as a course or class) is associated with a specific student section or subgroup of enrolled students.
  • E. hasCollegeSystemRole
    Indicates that an entity holds a specific role or position within a college’s organizational or system structure.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f91d9bfc8190af6f5f8211c3dda2 completed March 27, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69c6f4de77048190b8769e717fdcf8e7 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:51 p.m.