Triple

T4993028
Position Surface form Disambiguated ID Type / Status
Subject College of Science and Engineering, University of Edinburgh E112176 entity
Predicate hasSchool P113 FINISHED
Object School of Engineering, University of Edinburgh
The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
E484299 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, University of Edinburgh | Statement: [College of Science and Engineering, University of Edinburgh, hasSchool, School of Engineering, University of Edinburgh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Engineering, University of Edinburgh
Context triple: [College of Science and Engineering, University of Edinburgh, hasSchool, School of Engineering, University of Edinburgh]
  • A. College of Science and Engineering, University of Glasgow
    The College of Science and Engineering at the University of Glasgow is a major academic division offering research-led education and innovation across disciplines such as physics, engineering, computing, and the natural sciences.
  • B. Heriot-Watt University
    Heriot-Watt University is a Scottish research university known for its strong focus on science, engineering, business, and design, with a significant international presence through multiple global campuses.
  • C. University of Strathclyde
    The University of Strathclyde is a public research university in Glasgow, Scotland, known for its strong engineering, science, business, and technology programs and its focus on industry collaboration.
  • D. 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.
  • E. Edinburgh Napier University
    Edinburgh Napier University is a modern public university in Edinburgh, Scotland, known for its career-focused teaching and strong links with industry.
  • 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, University of Edinburgh
Triple: [College of Science and Engineering, University of Edinburgh, hasSchool, School of Engineering, University of Edinburgh]
Generated description
The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Engineering, University of Edinburgh
Target entity description: The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
  • A. College of Science and Engineering, University of Glasgow
    The College of Science and Engineering at the University of Glasgow is a major academic division offering research-led education and innovation across disciplines such as physics, engineering, computing, and the natural sciences.
  • B. Heriot-Watt University
    Heriot-Watt University is a Scottish research university known for its strong focus on science, engineering, business, and design, with a significant international presence through multiple global campuses.
  • C. University of Strathclyde
    The University of Strathclyde is a public research university in Glasgow, Scotland, known for its strong engineering, science, business, and technology programs and its focus on industry collaboration.
  • D. 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.
  • E. Edinburgh Napier University
    Edinburgh Napier University is a modern public university in Edinburgh, Scotland, known for its career-focused teaching and strong links with industry.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729d3d448190a414a003a75104f6 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a2d71c08190be1d3397585ca65c completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8b2297088190a1e049eab409ac59 completed March 21, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69be8b80af18819091efdfe242b7b477 completed March 21, 2026, 12:13 p.m.
Created at: March 20, 2026, 1:34 p.m.