Triple

T18839423
Position Surface form Disambiguated ID Type / Status
Subject National Military University "Vasil Levski" E460751 entity
Predicate hasDepartment P35 FINISHED
Object Faculty of Land Forces NE NERFINISHED

How this triple was built (3 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: Faculty of Land Forces | Statement: [National Military University "Vasil Levski", hasDepartment, Faculty of Land Forces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Land Forces
Context triple: [National Military University "Vasil Levski", hasDepartment, Faculty of Land Forces]
  • A. Faculty of Specialized Officers
    The Faculty of Specialized Officers is a division of Egypt’s Police Academy dedicated to training and qualifying officers in advanced, specialized fields of police work.
  • B. University of Defence
    The University of Defence is a Czech military higher education institution that provides university-level training and research for the armed forces and security sectors.
  • C. Defence College of Technical Training
    The Defence College of Technical Training is a United Kingdom military training institution responsible for delivering specialist technical education and professional development across the armed forces.
  • D. Defence Services Academy
    The Defence Services Academy is Myanmar’s premier military officer training institution, producing many of the country’s top army leaders and political figures.
  • E. Armed Forces Staff College
    The Armed Forces Staff College is a U.S. military educational institution that provides advanced joint professional military education to mid-career officers from multiple service branches.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Land Forces
Target entity description: The Faculty of Land Forces is a military academic unit specializing in the education and training of future army officers and land warfare specialists within Bulgaria’s National Military University “Vasil Levski.”
  • A. Faculty of Specialized Officers
    The Faculty of Specialized Officers is a division of Egypt’s Police Academy dedicated to training and qualifying officers in advanced, specialized fields of police work.
  • B. University of Defence
    The University of Defence is a Czech military higher education institution that provides university-level training and research for the armed forces and security sectors.
  • C. Defence College of Technical Training
    The Defence College of Technical Training is a United Kingdom military training institution responsible for delivering specialist technical education and professional development across the armed forces.
  • D. Defence Services Academy
    The Defence Services Academy is Myanmar’s premier military officer training institution, producing many of the country’s top army leaders and political figures.
  • E. Armed Forces Staff College
    The Armed Forces Staff College is a U.S. military educational institution that provides advanced joint professional military education to mid-career officers from multiple service branches.
  • F. None of above. chosen

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a9a0a9a48190b19b131f06b6f72f completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.