Triple

T1925479
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary University of London E40819 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of Queen Mary University of London that delivers teaching and research across a broad range of scientific and engineering disciplines.
E215596 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 and Engineering | Statement: [Queen Mary University of London, hasFaculty, Faculty of Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Engineering
Context triple: [Queen Mary University of London, hasFaculty, Faculty of Science and Engineering]
  • A. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of Sorbonne University that focuses on education and research in the natural sciences, mathematics, and engineering disciplines.
  • B. 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.
  • C. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of the University of Liverpool that delivers teaching and research across a broad range of scientific and engineering disciplines.
  • D. 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.
  • 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 and Engineering
Triple: [Queen Mary University of London, hasFaculty, Faculty of Science and Engineering]
Generated description
The Faculty of Science and Engineering is a major academic division of Queen Mary University of London that delivers teaching and research across a broad range of scientific and engineering disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Engineering
Target entity description: The Faculty of Science and Engineering is a major academic division of Queen Mary University of London that delivers teaching and research across a broad range of scientific and engineering disciplines.
  • A. 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.
  • B. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Anglia Ruskin University that delivers teaching and research across scientific and engineering disciplines.
  • C. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of the University of Liverpool that delivers teaching and research across a broad range of scientific and engineering disciplines.
  • D. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a major academic division of Sorbonne University that focuses on education and research in the natural sciences, mathematics, and engineering disciplines.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Dibrugarh University that offers undergraduate and postgraduate programs and conducts research in various scientific and engineering 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e881748190b00f125185e91271 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf494f0288190bf77285d18fcd3d9 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf51f49488190b9b0465b4da685c1 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.