Triple

T10080894
Position Surface form Disambiguated ID Type / Status
Subject Lucerne University of Applied Sciences and Arts E213896 entity
Predicate hasFaculty P141 FINISHED
Object School of Engineering and Architecture
The School of Engineering and Architecture is a faculty of the Lucerne University of Applied Sciences and Arts that offers practice-oriented education and research in engineering, architecture, and related technical disciplines.
E840486 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: School of Engineering and Architecture | Statement: [Lucerne University of Applied Sciences and Arts, hasFaculty, School of Engineering and Architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Engineering and Architecture
Context triple: [Lucerne University of Applied Sciences and Arts, hasFaculty, School of Engineering and Architecture]
  • A. School of Engineering and Architecture
    The School of Engineering and Architecture is a faculty of the University of Bologna that offers interdisciplinary education and research in engineering disciplines and architectural studies.
  • B. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of Ghent University in Belgium, offering a wide range of engineering and architectural programs and conducting research in technology and the built environment.
  • C. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of the American University of Beirut offering undergraduate and graduate programs in engineering and architectural disciplines.
  • D. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of the University of Zaragoza that offers higher education and research programs in engineering and architectural disciplines.
  • E. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is an academic division offering engineering and architectural education and research programs within the Balochistan University of Information Technology, Engineering and Management 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: School of Engineering and Architecture
Triple: [Lucerne University of Applied Sciences and Arts, hasFaculty, School of Engineering and Architecture]
Generated description
The School of Engineering and Architecture is a faculty of the Lucerne University of Applied Sciences and Arts that offers practice-oriented education and research in engineering, architecture, and related technical disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Engineering and Architecture
Target entity description: The School of Engineering and Architecture is a faculty of the Lucerne University of Applied Sciences and Arts that offers practice-oriented education and research in engineering, architecture, and related technical disciplines.
  • A. School of Engineering and Architecture
    The School of Engineering and Architecture is a faculty of the University of Bologna that offers interdisciplinary education and research in engineering disciplines and architectural studies.
  • B. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of Ghent University in Belgium, offering a wide range of engineering and architectural programs and conducting research in technology and the built environment.
  • C. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of the American University of Beirut offering undergraduate and graduate programs in engineering and architectural disciplines.
  • D. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is a major academic division of the University of Zaragoza that offers higher education and research programs in engineering and architectural disciplines.
  • E. Faculty of Engineering and Architecture
    The Faculty of Engineering and Architecture is an academic division offering engineering and architectural education and research programs within the Balochistan University of Information Technology, Engineering and Management 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b660987c8190a6a29d9e56acbff7 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.