Triple

T1694476
Position Surface form Disambiguated ID Type / Status
Subject Laurentian University E36625 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science, Engineering and Architecture
The Faculty of Science, Engineering and Architecture is an academic division of Laurentian University that offers programs and research opportunities across the natural sciences, engineering disciplines, and architectural studies.
E197084 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 Science, Engineering and Architecture | Statement: [Laurentian University, hasFaculty, Faculty of Science, Engineering and Architecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Engineering and Architecture
Context triple: [Laurentian University, hasFaculty, Faculty of Science, Engineering and Architecture]
  • A. Faculty of Engineering and Architectural Science
    The Faculty of Engineering and Architectural Science is a major academic division of Toronto Metropolitan University offering programs in engineering, architecture, and related applied sciences.
  • 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 Science and Engineering
    The Faculty of Science and Engineering is an academic division of Manchester Metropolitan University that delivers teaching and research across a range of scientific and engineering disciplines.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering at the University of Groningen is a major academic division offering education and research across a broad range of natural sciences, engineering, and technology 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 Science, Engineering and Architecture
Triple: [Laurentian University, hasFaculty, Faculty of Science, Engineering and Architecture]
Generated description
The Faculty of Science, Engineering and Architecture is an academic division of Laurentian University that offers programs and research opportunities across the natural sciences, engineering disciplines, and architectural studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Engineering and Architecture
Target entity description: The Faculty of Science, Engineering and Architecture is an academic division of Laurentian University that offers programs and research opportunities across the natural sciences, engineering disciplines, and architectural studies.
  • A. Faculty of Engineering and Architectural Science
    The Faculty of Engineering and Architectural Science is a major academic division of Toronto Metropolitan University offering programs in engineering, architecture, and related applied sciences.
  • 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 Science and Engineering
    The Faculty of Science and Engineering is an academic division of Manchester Metropolitan University that delivers teaching and research across a range of scientific and engineering disciplines.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering at the University of Groningen is a major academic division offering education and research across a broad range of natural sciences, engineering, and technology disciplines.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cb18348190baf7a30c231c7349 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada28b008c8190a46570a9f5f9f7a3 completed March 8, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69ada4dfc9188190845a4e4490318d68 completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:29 p.m.