Triple

T90957
Position Surface form Disambiguated ID Type / Status
Subject McGill University E1827 entity
Predicate internationalStudentsShare P4356 FINISHED
Object high proportion of international 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: high proportion of international students | Statement: [McGill University, internationalStudentsShare, high proportion of international students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internationalStudentsShare
Context triple: [McGill University, internationalStudentsShare, high proportion of international students]
  • A. university
    Indicates that an educational institution of higher learning is associated with or attended by a given entity.
  • B. campus
    Indicates that an entity is located on, associated with, or taking place within a particular campus.
  • C. isInternational
    Indicates that something has a connection to, involves, or extends across more than one country.
  • D. taughtAsForeignLanguageIn
    Indicates that a language is taught as a foreign (non-native) language within a particular educational context or institution.
  • E. postgraduatesApprox
    Indicates that one entity has an approximate or estimated number of postgraduate students or postgraduate-related quantity equal to the other entity.
  • F. None of above. chosen

Provenance (4 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a2512ef600819084d3c627f0d534f4 completed Feb. 28, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69a24eb9a5ac8190b1d1300e8c4e3606 completed Feb. 28, 2026, 2:11 a.m.
PDg Predicate description generation batch_69a2512cc3108190aefe5e624312f7d0 completed Feb. 28, 2026, 2:21 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.