Triple

T21786367
Position Surface form Disambiguated ID Type / Status
Subject University of Zenica E537847 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Metallurgy and Technology
The Faculty of Metallurgy and Technology is a higher education and research institution within the University of Zenica specializing in metallurgy, materials science, and related engineering disciplines.
E1502704 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 Metallurgy and Technology | Statement: [University of Zenica, hasFaculty, Faculty of Metallurgy and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Metallurgy and Technology
Context triple: [University of Zenica, hasFaculty, Faculty of Metallurgy and Technology]
  • A. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
  • B. Faculty of Mining and Metallurgical Engineering
    The Faculty of Mining and Metallurgical Engineering is an academic division specializing in education and research related to mineral resource extraction, processing, and materials metallurgy.
  • C. School of Metallurgy
    The School of Metallurgy is an academic unit of Northeastern University in China specializing in education and research in metallurgical engineering and related materials sciences.
  • D. Faculty of Chemical and Metallurgical Engineering
    The Faculty of Chemical and Metallurgical Engineering is an academic division of Istanbul Technical University specializing in education and research in chemical, metallurgical, and materials engineering disciplines.
  • E. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic unit of VSB – Technical University of Ostrava focused on education and research in materials engineering, advanced technologies, and related applied sciences.
  • 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 Metallurgy and Technology
Triple: [University of Zenica, hasFaculty, Faculty of Metallurgy and Technology]
Generated description
The Faculty of Metallurgy and Technology is a higher education and research institution within the University of Zenica specializing in metallurgy, materials science, and related engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Metallurgy and Technology
Target entity description: The Faculty of Metallurgy and Technology is a higher education and research institution within the University of Zenica specializing in metallurgy, materials science, and related engineering disciplines.
  • A. Faculty of Materials and Metallurgical Engineering
    The Faculty of Materials and Metallurgical Engineering is an academic division specializing in the study, research, and education of materials science and metallurgical processes within Amirkabir University of Technology.
  • B. Faculty of Mining and Metallurgical Engineering
    The Faculty of Mining and Metallurgical Engineering is an academic division specializing in education and research related to mineral resource extraction, processing, and materials metallurgy.
  • C. School of Metallurgy
    The School of Metallurgy is an academic unit of Northeastern University in China specializing in education and research in metallurgical engineering and related materials sciences.
  • D. Faculty of Chemical and Metallurgical Engineering
    The Faculty of Chemical and Metallurgical Engineering is an academic division of Istanbul Technical University specializing in education and research in chemical, metallurgical, and materials engineering disciplines.
  • E. Faculty of Materials Science and Technology
    The Faculty of Materials Science and Technology is an academic unit of VSB – Technical University of Ostrava focused on education and research in materials engineering, advanced technologies, and related applied sciences.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621b5d6881908b74bc999c94fa3d completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e71399c8190b80ebe0870bbcda9 completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a3f80ad2c8190bc9b8de10b37c826 completed May 17, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0a402328f88190aedece0522614d71 completed May 17, 2026, 10:24 p.m.
Created at: April 16, 2026, 6:52 p.m.