Triple

T23239730
Position Surface form Disambiguated ID Type / Status
Subject Northampton Square E581402 entity
Predicate associatedWith P37 FINISHED
Object School of Science and Technology, City, University of London
The School of Science and Technology at City, University of London is an academic division offering research-led education and training in disciplines such as computer science, engineering, mathematics, and related technological fields.
E1579061 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 Science and Technology, City, University of London | Statement: [Northampton Square, associatedWith, School of Science and Technology, City, University of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Science and Technology, City, University of London
Context triple: [Northampton Square, associatedWith, School of Science and Technology, City, University of London]
  • A. Faculty of Natural Sciences, Imperial College London
    The Faculty of Natural Sciences at Imperial College London is a major academic division renowned for its research and teaching in disciplines such as physics, chemistry, life sciences, and mathematics.
  • B. Royal College of Science, London
    The Royal College of Science, London was a constituent college of Imperial College London specializing in the natural sciences and playing a key role in the development of scientific education and research in the UK.
  • C. University of Queen Mary London
    The University of Queen Mary London is a major public research university in London renowned for its strong academic programs and membership in the prestigious Russell Group of leading UK universities.
  • D. Birkbeck, University of London
    Birkbeck, University of London is a renowned public research university in London best known for its evening higher-education programs serving working adults and part-time students.
  • E. Imperial College London White City Campus
    Imperial College London White City Campus is a major west London hub for research, innovation, and entrepreneurship, bringing together scientists, engineers, businesses, and startups in a purpose-built urban campus.
  • 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 Science and Technology, City, University of London
Triple: [Northampton Square, associatedWith, School of Science and Technology, City, University of London]
Generated description
The School of Science and Technology at City, University of London is an academic division offering research-led education and training in disciplines such as computer science, engineering, mathematics, and related technological fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: School of Science and Technology, City, University of London
Target entity description: The School of Science and Technology at City, University of London is an academic division offering research-led education and training in disciplines such as computer science, engineering, mathematics, and related technological fields.
  • A. Faculty of Natural Sciences, Imperial College London
    The Faculty of Natural Sciences at Imperial College London is a major academic division renowned for its research and teaching in disciplines such as physics, chemistry, life sciences, and mathematics.
  • B. Royal College of Science, London
    The Royal College of Science, London was a constituent college of Imperial College London specializing in the natural sciences and playing a key role in the development of scientific education and research in the UK.
  • C. University of Queen Mary London
    The University of Queen Mary London is a major public research university in London renowned for its strong academic programs and membership in the prestigious Russell Group of leading UK universities.
  • D. Birkbeck, University of London
    Birkbeck, University of London is a renowned public research university in London best known for its evening higher-education programs serving working adults and part-time students.
  • E. Imperial College London White City Campus
    Imperial College London White City Campus is a major west London hub for research, innovation, and entrepreneurship, bringing together scientists, engineers, businesses, and startups in a purpose-built urban campus.
  • 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ecc7e481908cac59df5c0deea1 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f5ea49c8190bca74c1c21e1a85b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:10 p.m.