Triple

T229724
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Nursing, Cairo University E4383 entity
Predicate typeOfStudents P177 FINISHED
Object undergraduate nursing students 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: undergraduate nursing students | Statement: [Faculty of Nursing, Cairo University, typeOfStudents, undergraduate nursing students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfStudents
Context triple: [Faculty of Nursing, Cairo University, typeOfStudents, undergraduate nursing students]
  • A. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • B. studentsWing
    Indicates a relationship where a particular wing, section, or area is designated for or associated with students.
  • C. educationType chosen
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • D. courseType
    Indicates the classification or category of a course based on its nature, level, or instructional format.
  • E. studiedBy
    Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b5a075081909b0e9b88c1492d5a completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.