Triple

T2391663
Position Surface form Disambiguated ID Type / Status
Subject Warsaw University of Technology E48956 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Automotive and Construction Machinery Engineering
The Faculty of Automotive and Construction Machinery Engineering is a specialized engineering faculty at the Warsaw University of Technology focused on education and research in vehicle and heavy machinery design, manufacturing, and operation.
E206108 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 Automotive and Construction Machinery Engineering | Statement: [Warsaw University of Technology, hasFaculty, Faculty of Automotive and Construction Machinery Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Automotive and Construction Machinery Engineering
Context triple: [Warsaw University of Technology, hasFaculty, Faculty of Automotive and Construction Machinery Engineering]
  • A. Faculty of Automotive and Tractor Engineering
    The Faculty of Automotive and Tractor Engineering is an academic division specializing in the education and research of automotive, tractor, and related transport machinery engineering.
  • B. Faculty of Mechanical Engineering
    The Faculty of Mechanical Engineering is an academic division of Chemnitz University of Technology specializing in education and research in mechanical engineering and related technical disciplines.
  • C. Faculty of Mechanical Engineering
    The Faculty of Mechanical Engineering is a major academic division of Leibniz University Hannover specializing in education and research across the fields of mechanical and industrial engineering.
  • D. School of Mechanical and Automotive Engineering
    The School of Mechanical and Automotive Engineering is an academic unit of South China University of Technology specializing in education and research in mechanical engineering and automotive technologies.
  • E. Faculty of Civil and Industrial Engineering
    The Faculty of Civil and Industrial Engineering is an academic division of Sapienza University of Rome specializing in education and research in civil, industrial, and related engineering disciplines.
  • 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 Automotive and Construction Machinery Engineering
Triple: [Warsaw University of Technology, hasFaculty, Faculty of Automotive and Construction Machinery Engineering]
Generated description
The Faculty of Automotive and Construction Machinery Engineering is a specialized engineering faculty at the Warsaw University of Technology focused on education and research in vehicle and heavy machinery design, manufacturing, and operation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Automotive and Construction Machinery Engineering
Target entity description: The Faculty of Automotive and Construction Machinery Engineering is a specialized engineering faculty at the Warsaw University of Technology focused on education and research in vehicle and heavy machinery design, manufacturing, and operation.
  • A. Faculty of Automotive and Tractor Engineering chosen
    The Faculty of Automotive and Tractor Engineering is an academic division specializing in the education and research of automotive, tractor, and related transport machinery engineering.
  • B. Faculty of Mechanical Engineering
    The Faculty of Mechanical Engineering is a major academic division of Leibniz University Hannover specializing in education and research across the fields of mechanical and industrial engineering.
  • C. Faculty of Mechanical Engineering
    The Faculty of Mechanical Engineering is an academic division of Chemnitz University of Technology specializing in education and research in mechanical engineering and related technical disciplines.
  • D. School of Mechanical and Automotive Engineering
    The School of Mechanical and Automotive Engineering is an academic unit of South China University of Technology specializing in education and research in mechanical engineering and automotive technologies.
  • E. Faculty of Civil and Industrial Engineering
    The Faculty of Civil and Industrial Engineering is an academic division of Sapienza University of Rome specializing in education and research in civil, industrial, and related engineering disciplines.
  • F. None of above.

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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d7b4908190a87dd33316d2d725 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b83ec48190b2852daef0767ac8 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb57af28c8190bfca30ad3e7ca8b3 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.