Triple

T18541750
Position Surface form Disambiguated ID Type / Status
Subject Donetsk National Technical University E453116 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Electrical Engineering
The Faculty of Electrical Engineering is an academic division of Donetsk National Technical University specializing in education and research in electrical and related engineering disciplines.
E1331043 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 Electrical Engineering | Statement: [Donetsk National Technical University, hasFaculty, Faculty of Electrical Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Electrical Engineering
Context triple: [Donetsk National Technical University, hasFaculty, Faculty of Electrical Engineering]
  • A. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic division of Gdynia Maritime University specializing in education and research in electrical and related engineering fields, particularly as they apply to maritime industries.
  • B. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic and research unit of the University of Sarajevo specializing in electrical engineering and related technological fields.
  • C. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic division of the Politehnica University of Bucharest specializing in education and research in electrical and electronic engineering.
  • D. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a constituent academic unit of the University of Montenegro specializing in education and research in electrical engineering and related technological fields.
  • E. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic unit of the Silesian University of Technology specializing in education and research in electrical engineering and related technologies.
  • 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 Electrical Engineering
Triple: [Donetsk National Technical University, hasFaculty, Faculty of Electrical Engineering]
Generated description
The Faculty of Electrical Engineering is an academic division of Donetsk National Technical University specializing in education and research in electrical and related engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Electrical Engineering
Target entity description: The Faculty of Electrical Engineering is an academic division of Donetsk National Technical University specializing in education and research in electrical and related engineering disciplines.
  • A. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic division of Dnipro University of Technology that specializes in education and research in electrical power systems, electronics, and related engineering disciplines.
  • B. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic division of the Technical University of Sofia specializing in education and research in electrical and electronic engineering disciplines.
  • C. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic division of the Technical University of Varna specializing in education and research in electrical and related engineering fields.
  • D. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic division of Opole University of Technology specializing in education and research in electrical engineering and related technologies.
  • E. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic unit of the Silesian University of Technology specializing in education and research in electrical engineering and related technologies.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b749b88190ad03b26bee3c89df completed April 19, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ad9d8108190b7251f293563a056 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049d1fabfc8190ade010ba5d2a2c1b completed May 13, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_6a049f83689c81908e02646a157c80d4 completed May 13, 2026, 3:57 p.m.
Created at: April 10, 2026, 11:38 a.m.