Triple

T654159
Position Surface form Disambiguated ID Type / Status
Subject Université de Montréal E11608 entity
Predicate QSWorldUniversityRankingCategory P16966 FINISHED
Object global research university 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: global research university | Statement: [Université de Montréal, QSWorldUniversityRankingCategory, global research university]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: QSWorldUniversityRankingCategory
Context triple: [Université de Montréal, QSWorldUniversityRankingCategory, global research university]
  • A. QSWorldUniversityRankingRange
    Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
  • B. hasTimesHigherEducationRanking2024
    Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
  • C. university
    Indicates that an educational institution of higher learning is associated with or attended by a given entity.
  • D. stateUniversity
    Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
  • E. universityLocatedIn
    Indicates that a university is situated within or associated with a specific geographic location or administrative region.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69a49d1001088190aa7ca3c8f2ad0e32 completed March 1, 2026, 8:09 p.m.
PDg Predicate description generation batch_69a49dc0e6a08190b81d82a6f2571c41 completed March 1, 2026, 8:12 p.m.
Created at: March 1, 2026, 7:36 p.m.