Triple

T8030244
Position Surface form Disambiguated ID Type / Status
Subject Merchant Venturers' Technical College E186958 entity
Predicate hasSuccessor P78 FINISHED
Object Department of Engineering, University of Bristol
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
E709193 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: Department of Engineering, University of Bristol | Statement: [Merchant Venturers' Technical College, hasSuccessor, Department of Engineering, University of Bristol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Engineering, University of Bristol
Context triple: [Merchant Venturers' Technical College, hasSuccessor, Department of Engineering, University of Bristol]
  • A. Department of Engineering, Lancaster University
    The Department of Engineering at Lancaster University is a multidisciplinary engineering school known for its research and teaching in areas such as mechanical, electronic, chemical, and nuclear engineering.
  • B. Department of Engineering, University of Cambridge
    The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
  • C. School of Physics, University of Bristol
    The School of Physics, University of Bristol is a leading UK physics department known for research and teaching in areas such as quantum physics, condensed matter, and astrophysics.
  • D. University of Bristol
    The University of Bristol is a leading public research university in Bristol, England, renowned for its strong academic reputation and membership in the UK's most prestigious research-intensive university networks.
  • E. Senate House, University of Bristol
    Senate House, University of Bristol is a central administrative and student hub building on the university’s Clifton campus, housing key services, offices, and social spaces.
  • 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: Department of Engineering, University of Bristol
Triple: [Merchant Venturers' Technical College, hasSuccessor, Department of Engineering, University of Bristol]
Generated description
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Engineering, University of Bristol
Target entity description: The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
  • A. Department of Engineering, Lancaster University
    The Department of Engineering at Lancaster University is a multidisciplinary engineering school known for its research and teaching in areas such as mechanical, electronic, chemical, and nuclear engineering.
  • B. Department of Engineering, University of Cambridge
    The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
  • C. School of Physics, University of Bristol
    The School of Physics, University of Bristol is a leading UK physics department known for research and teaching in areas such as quantum physics, condensed matter, and astrophysics.
  • D. University of Bristol
    The University of Bristol is a leading public research university in Bristol, England, renowned for its strong academic reputation and membership in the UK's most prestigious research-intensive university networks.
  • E. Senate House, University of Bristol
    Senate House, University of Bristol is a central administrative and student hub building on the university’s Clifton campus, housing key services, offices, and social spaces.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecf0f2c819091899211003c461e completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c911c081909751b614966d986c completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:22 p.m.