Triple

T9009782
Position Surface form Disambiguated ID Type / Status
Subject Ural Federal University E215436 entity
Predicate rankedIn P6220 FINISHED
Object Times Higher Education World University Rankings
The Times Higher Education World University Rankings is a prominent annual global ranking system that evaluates and compares universities worldwide based on criteria such as teaching, research, citations, international outlook, and industry income.
E773429 NE FINISHED

How this triple was built (4 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: Times Higher Education World University Rankings | Statement: [Ural Federal University, rankedIn, Times Higher Education World University Rankings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Times Higher Education World University Rankings
Context triple: [Ural Federal University, rankedIn, Times Higher Education World University Rankings]
  • A. QS World University Rankings
    QS World University Rankings is a prominent annual global ranking system that evaluates and compares universities worldwide based on factors such as academic reputation, employer reputation, research impact, and internationalization.
  • B. World Higher Education Database
    The World Higher Education Database is a comprehensive global reference resource providing detailed information on higher education systems, institutions, and credentials worldwide.
  • C. League of European Research Universities
    The League of European Research Universities is a consortium of leading research-intensive universities in Europe that collaborates to influence policy and promote high-quality academic research and education.
  • D. U.S. News top-ranked national universities
    U.S. News top-ranked national universities are leading U.S. higher education institutions recognized for their strong academic reputation, research output, and student outcomes in the annual U.S. News & World Report rankings.
  • E. World-class Universities and World-class Disciplines initiative
    The World-class Universities and World-class Disciplines initiative is a Chinese government program aimed at elevating selected universities and academic fields to top-tier global standards in higher education and research.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Times Higher Education World University Rankings
Triple: [Ural Federal University, rankedIn, Times Higher Education World University Rankings]
Generated description
The Times Higher Education World University Rankings is a prominent annual global ranking system that evaluates and compares universities worldwide based on criteria such as teaching, research, citations, international outlook, and industry income.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Times Higher Education World University Rankings
Target entity description: The Times Higher Education World University Rankings is a prominent annual global ranking system that evaluates and compares universities worldwide based on criteria such as teaching, research, citations, international outlook, and industry income.
  • A. QS World University Rankings
    QS World University Rankings is a prominent annual global ranking system that evaluates and compares universities worldwide based on factors such as academic reputation, employer reputation, research impact, and internationalization.
  • B. World Higher Education Database
    The World Higher Education Database is a comprehensive global reference resource providing detailed information on higher education systems, institutions, and credentials worldwide.
  • C. League of European Research Universities
    The League of European Research Universities is a consortium of leading research-intensive universities in Europe that collaborates to influence policy and promote high-quality academic research and education.
  • D. U.S. News top-ranked national universities
    U.S. News top-ranked national universities are leading U.S. higher education institutions recognized for their strong academic reputation, research output, and student outcomes in the annual U.S. News & World Report rankings.
  • E. World-class Universities and World-class Disciplines initiative
    The World-class Universities and World-class Disciplines initiative is a Chinese government program aimed at elevating selected universities and academic fields to top-tier global standards in higher education and research.
  • F. None of above. chosen

Provenance (5 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9a11948190a43f60d0df71b1af completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdd80d5ac8190862704a62ac1c942 completed April 3, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69cfde1eb8588190859a015f61d8f433 completed April 3, 2026, 3:34 p.m.
Created at: March 30, 2026, 7:06 p.m.