Triple

T7670951
Position Surface form Disambiguated ID Type / Status
Subject VSB – Technical University of Ostrava E173744 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Safety Engineering
The Faculty of Safety Engineering is a specialized faculty of VSB – Technical University of Ostrava focused on education and research in safety, risk management, and protection of people, property, and the environment.
E681102 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: Faculty of Safety Engineering | Statement: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Safety Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Safety Engineering
Context triple: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Safety Engineering]
  • A. Faculty of Engineering Sciences
    The Faculty of Engineering Sciences at Ben-Gurion University of the Negev is an academic division dedicated to education and research across multiple engineering disciplines, supporting innovation and technological development in Israel and beyond.
  • B. Faculty of Engineering Sciences
    The Faculty of Engineering Sciences at University College London is a leading academic division known for its research-intensive engineering and technology programs across multiple disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at Kyoto University is a major academic division renowned for its research and education in engineering and technology disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering is an academic division of Østfold University College that offers engineering education and conducts research in various technical and applied science disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering at the University of Manitoba is an academic division that offers undergraduate and graduate programs in various engineering disciplines and conducts related 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: Faculty of Safety Engineering
Triple: [VSB – Technical University of Ostrava, hasFaculty, Faculty of Safety Engineering]
Generated description
The Faculty of Safety Engineering is a specialized faculty of VSB – Technical University of Ostrava focused on education and research in safety, risk management, and protection of people, property, and the environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Safety Engineering
Target entity description: The Faculty of Safety Engineering is a specialized faculty of VSB – Technical University of Ostrava focused on education and research in safety, risk management, and protection of people, property, and the environment.
  • A. Faculty of Engineering Sciences
    The Faculty of Engineering Sciences at Ben-Gurion University of the Negev is an academic division dedicated to education and research across multiple engineering disciplines, supporting innovation and technological development in Israel and beyond.
  • B. Faculty of Engineering Sciences
    The Faculty of Engineering Sciences at University College London is a leading academic division known for its research-intensive engineering and technology programs across multiple disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at Marmara University is an academic division that offers undergraduate and graduate programs in various engineering disciplines, combining technical education with research and industry collaboration.
  • D. Faculty of Engineering
    The Faculty of Engineering at Shahid Beheshti University is an academic division that offers undergraduate and graduate programs in various engineering disciplines and conducts related research.
  • E. Faculty of Engineering
    The Faculty of Engineering at Universitas Brawijaya is an academic division that offers engineering education and research programs across various technical disciplines.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701dd3c808190990e07ced94b3297 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a229dd348190b9a781b4d34d7b5b completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.