Triple

T1196039
Position Surface form Disambiguated ID Type / Status
Subject Sapienza University of Rome E25668 entity
Predicate hasQSWorldUniversityRankingCategory P16966 FINISHED
Object top universities in Italy 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: top universities in Italy | Statement: [Sapienza University of Rome, hasQSWorldUniversityRankingCategory, top universities in Italy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasQSWorldUniversityRankingCategory
Context triple: [Sapienza University of Rome, hasQSWorldUniversityRankingCategory, top universities in Italy]
  • A. QSWorldUniversityRankingCategory chosen
    Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
  • B. QSWorldUniversityRankingRange
    Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
  • C. hasTimesHigherEducationRanking2024
    Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
  • D. hasRankingCategory
    Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
  • E. hasRankCategory
    Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7a756c819085d695acfffeaceb completed March 1, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69a4bb5d40a08190b7682d8ef8075421 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.