Triple

T14269709
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Nahda University in Beni Suef E353746 entity
Predicate academicComponent P45331 FINISHED
Object basic medical sciences 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: basic medical sciences | Statement: [Faculty of Medicine, Nahda University in Beni Suef, academicComponent, basic medical sciences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicComponent
Context triple: [Faculty of Medicine, Nahda University in Beni Suef, academicComponent, basic medical sciences]
  • A. academicPost
    Indicates that an entity holds or is associated with a formal academic position or appointment at an educational or research institution.
  • B. hasAcademicComponent chosen
    Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
  • C. academicType
    Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
  • D. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • E. academicAccess
    Indicates that one entity has permission or the ability to use, enter, or benefit from academic resources, environments, or services provided by another entity.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:10 a.m.