Triple

T6048785
Position Surface form Disambiguated ID Type / Status
Subject Schulich School of Engineering E134733 entity
Predicate hasUndergraduateDegree P6482 FINISHED
Object Bachelor of Science in Engineering 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: Bachelor of Science in Engineering | Statement: [Schulich School of Engineering, hasUndergraduateDegree, Bachelor of Science in Engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUndergraduateDegree
Context triple: [Schulich School of Engineering, hasUndergraduateDegree, Bachelor of Science in Engineering]
  • A. hasDegree chosen
    Indicates that an entity possesses or has been awarded a specific academic or professional degree.
  • B. hasCollegeType
    Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
  • C. hasHigherEducationAccess
    Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
  • D. hasHigherDegree
    Indicates that one entity possesses an academic degree that is of a higher level than the academic degree held by another entity.
  • E. hasUndergraduatePrograms
    Indicates that an educational institution offers one or more undergraduate-level academic programs.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f387cc8190920b846995761aec completed March 22, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69c049edc6f0819092ca620d9073ad26 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:09 p.m.