Triple

T19202241
Position Surface form Disambiguated ID Type / Status
Subject Yerevan State University E470135 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Journalism 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 Journalism | Statement: [Yerevan State University, hasFaculty, Faculty of Journalism]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Journalism
Context triple: [Yerevan State University, hasFaculty, Faculty of Journalism]
  • A. Faculty of Journalism
    The Faculty of Journalism is an academic division of the University of Lviv dedicated to educating students in journalism, media studies, and related communication fields.
  • B. Faculty of Journalism
    The Faculty of Journalism is an academic division of Belarusian State University specializing in training journalists and media professionals through theoretical and practical education in mass communication.
  • C. Faculty of Journalism
    The Faculty of Journalism is an academic division of Al-Farabi Kazakh National University specializing in education and research in journalism and mass communication.
  • D. Faculty of Journalism
    The Faculty of Journalism at Baku State University is an academic unit dedicated to educating future journalists and media professionals through theoretical and practical training in mass communication.
  • E. Faculty of Journalism
    The Faculty of Journalism is an academic division of the Moscow State Institute of International Relations specializing in training media and communications professionals with a strong focus on international affairs.
  • 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 Journalism
Target entity description: The Faculty of Journalism is an academic division of Yerevan State University dedicated to educating students in journalism, media studies, and related communication fields.
  • A. Faculty of Journalism
    The Faculty of Journalism is an academic division of Belarusian State University specializing in training journalists and media professionals through theoretical and practical education in mass communication.
  • B. Faculty of Journalism
    The Faculty of Journalism is an academic division of the University of Lviv dedicated to educating students in journalism, media studies, and related communication fields.
  • C. Faculty of Journalism
    The Faculty of Journalism at Baku State University is an academic unit dedicated to educating future journalists and media professionals through theoretical and practical training in mass communication.
  • D. Faculty of Journalism
    The Faculty of Journalism is an academic division of Kabul University dedicated to educating students in journalism, media studies, and mass communication.
  • E. Faculty of Journalism
    The Faculty of Journalism is an academic division of the Moscow State Institute of International Relations specializing in training media and communications professionals with a strong focus on international affairs.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f9991ba48190ab92805daec3877b completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 12:07 p.m.