Triple

T1102102
Position Surface form Disambiguated ID Type / Status
Subject University of Bologna E25401 entity
Predicate hasQSWorldRanking2024 P13383 FINISHED
Object within top 200 universities worldwide 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: within top 200 universities worldwide | Statement: [University of Bologna, hasQSWorldRanking2024, within top 200 universities worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQSWorldRanking2024
Context triple: [University of Bologna, hasQSWorldRanking2024, within top 200 universities worldwide]
  • A. hasTimesHigherEducationRanking2024
    Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
  • B. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • C. QSWorldUniversityRankingCategory
    Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
  • D. globalRanking
    Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
  • E. QSWorldUniversityRankingRange chosen
    Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c21c2c8190a34d91a7afed23a9 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b7472c848190b0643872f67084a2 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.