Triple

T12512145
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Technology Owerri E299104 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Environmental Technology
The Faculty of Environmental Technology is an academic division of the Federal University of Technology Owerri that focuses on education and research in environmental management, planning, and related technological fields.
E987852 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 Environmental Technology | Statement: [Federal University of Technology Owerri, hasFaculty, Faculty of Environmental Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Environmental Technology
Context triple: [Federal University of Technology Owerri, hasFaculty, Faculty of Environmental Technology]
  • A. Faculty of Environment and Technology
    The Faculty of Environment and Technology is an academic division of the University of the West of England that focuses on disciplines such as environmental studies, engineering, computing, and related technological fields.
  • B. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic unit of Wrocław University of Science and Technology specializing in education and research on sustainable environmental systems, including water, air, and waste management technologies.
  • C. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic division specializing in education and research on environmental protection, sustainable technologies, and ecological management within Brest State Technical University.
  • D. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on environmental protection, sustainable infrastructure, and related engineering fields.
  • E. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic division of Lublin University of Technology focused on education and research in environmental protection, sustainable technologies, and related engineering fields.
  • 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 Environmental Technology
Triple: [Federal University of Technology Owerri, hasFaculty, Faculty of Environmental Technology]
Generated description
The Faculty of Environmental Technology is an academic division of the Federal University of Technology Owerri that focuses on education and research in environmental management, planning, and related technological fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Environmental Technology
Target entity description: The Faculty of Environmental Technology is an academic division of the Federal University of Technology Owerri that focuses on education and research in environmental management, planning, and related technological fields.
  • A. Faculty of Environment and Technology
    The Faculty of Environment and Technology is an academic division of the University of the West of England that focuses on disciplines such as environmental studies, engineering, computing, and related technological fields.
  • B. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic unit of Wrocław University of Science and Technology specializing in education and research on sustainable environmental systems, including water, air, and waste management technologies.
  • C. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic division specializing in education and research on environmental protection, sustainable technologies, and ecological management within Brest State Technical University.
  • D. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic division of Lublin University of Technology focused on education and research in environmental protection, sustainable technologies, and related engineering fields.
  • E. Faculty of Environmental Engineering
    The Faculty of Environmental Engineering is an academic unit of the Warsaw University of Technology specializing in education and research on environmental protection, sustainable infrastructure, and related engineering fields.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541d6e508190a4992f328e077467 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.