Triple

T1914699
Position Surface form Disambiguated ID Type / Status
Subject University of Warwick E38190 entity
Predicate hasAcademicDivision P50 FINISHED
Object Faculty of Science, Engineering and Medicine
The Faculty of Science, Engineering and Medicine is a major academic division of the University of Warwick that brings together disciplines across the natural sciences, engineering, technology, and health-related fields for teaching and research.
E215925 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 Medicine | Statement: [University of Warwick, hasAcademicDivision, Faculty of Science, Engineering and Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Engineering and Medicine
Context triple: [University of Warwick, hasAcademicDivision, Faculty of Science, Engineering and Medicine]
  • A. Faculty of Science and Medicine
    The Faculty of Science and Medicine is a division of the University of Fribourg that offers education and research programs in the natural sciences and medical fields.
  • B. 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.
  • C. Faculty of Engineering, Mathematics and Science
    The Faculty of Engineering, Mathematics and Science is a major academic division of Trinity College Dublin that oversees teaching and research in engineering, mathematical sciences, and natural sciences.
  • D. Faculty of Life Sciences & Medicine
    The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of the Pontifical Catholic University of Peru that offers undergraduate and graduate programs in scientific and engineering disciplines and conducts related research.
  • 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 Medicine
Triple: [University of Warwick, hasAcademicDivision, Faculty of Science, Engineering and Medicine]
Generated description
The Faculty of Science, Engineering and Medicine is a major academic division of the University of Warwick that brings together disciplines across the natural sciences, engineering, technology, and health-related fields for teaching and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science, Engineering and Medicine
Target entity description: The Faculty of Science, Engineering and Medicine is a major academic division of the University of Warwick that brings together disciplines across the natural sciences, engineering, technology, and health-related fields for teaching and research.
  • A. Faculty of Science and Medicine
    The Faculty of Science and Medicine is a division of the University of Fribourg that offers education and research programs in the natural sciences and medical fields.
  • B. 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.
  • C. Faculty of Engineering, Mathematics and Science
    The Faculty of Engineering, Mathematics and Science is a major academic division of Trinity College Dublin that oversees teaching and research in engineering, mathematical sciences, and natural sciences.
  • D. Faculty of Life Sciences & Medicine
    The Faculty of Life Sciences & Medicine is a major academic division of King’s College London specializing in biomedical, health, and life sciences education and research.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of the Pontifical Catholic University of Peru that offers undergraduate and graduate programs in scientific and engineering disciplines and conducts related research.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e403d88190822082b4b5135e70 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3d7df908190891448dfa8bb4fb0 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf44290748190b882559de536af09 completed March 8, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69adf4d0ac58819096659706ef0785d0 completed March 8, 2026, 10:14 p.m.
Created at: March 4, 2026, 7:35 p.m.