Triple

T14380568
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Engineering, Nahda University in Beni Suef E356589 entity
Predicate mayOfferProgramType P100436 FINISHED
Object postgraduate programs 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: postgraduate programs | Statement: [Faculty of Engineering, Nahda University in Beni Suef, mayOfferProgramType, postgraduate programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayOfferProgramType
Context triple: [Faculty of Engineering, Nahda University in Beni Suef, mayOfferProgramType, postgraduate programs]
  • A. offersProgram
    Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
  • B. mayProvideEligibilityFor
    Indicates that one entity can serve as a basis or qualifying factor that makes another entity eligible for something (such as a benefit, status, or action).
  • C. offersProgramsIn
    Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
  • D. mayApply
    Indicates that an entity is permitted or eligible to submit or use something (such as a rule, action, or resource) under certain conditions.
  • E. offersProgramCategory chosen
    Indicates that an entity provides or makes available a specific category of program.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900bbfb08190a1e56f281a2374c0 completed April 14, 2026, 7:05 p.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:16 a.m.