Triple

T21769900
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Informatics and Management, University of Hradec Králové E537395 entity
Predicate hasDepartment P35 FINISHED
Object Department of Applied Linguistics 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: Department of Applied Linguistics | Statement: [Faculty of Informatics and Management, University of Hradec Králové, hasDepartment, Department of Applied Linguistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Applied Linguistics
Context triple: [Faculty of Informatics and Management, University of Hradec Králové, hasDepartment, Department of Applied Linguistics]
  • A. Faculty of Applied Linguistics
    The Faculty of Applied Linguistics is a division of the University of Warsaw specializing in the study and teaching of foreign languages, translation, and practical language applications.
  • B. Department of Linguistics
    The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
  • C. Department of Linguistics
    The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
  • D. Department of Linguistics
    The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
  • E. Department of Linguistics
    The Department of Linguistics is an academic unit at Osaka University's School of Letters dedicated to the scientific study of language, its structure, use, and development.
  • 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: Department of Applied Linguistics
Target entity description: The Department of Applied Linguistics is an academic unit at the University of Hradec Králové focused on the practical study and teaching of languages, communication, and related linguistic applications.
  • A. Faculty of Applied Linguistics
    The Faculty of Applied Linguistics is a division of the University of Warsaw specializing in the study and teaching of foreign languages, translation, and practical language applications.
  • B. Department of Linguistics
    The Department of Linguistics at the University of Zadar is an academic unit dedicated to the scientific study of language, offering teaching and research in areas such as theoretical, applied, and descriptive linguistics.
  • C. Department of Linguistics
    The Department of Linguistics is an academic unit at the University of Chile dedicated to the scientific study of language, including its structure, use, and development.
  • D. Department of Linguistics
    The Department of Linguistics at Deccan College is an academic unit dedicated to the scientific study of language, including its structure, history, and use.
  • E. Department of Linguistics
    The Department of Linguistics is an academic unit at Osaka University's School of Letters dedicated to the scientific study of language, its structure, use, and development.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031ad76848190b2c7a05d091b7faf completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.