Triple

T679446
Position Surface form Disambiguated ID Type / Status
Subject University of Liverpool E13148 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E83514 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: [University of Liverpool, 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: [University of Liverpool, 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 Engineering and Applied Science
    The Faculty of Engineering and Applied Science is Queen's University at Kingston's engineering school, offering undergraduate and graduate programs in engineering and related applied science disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Tokyo is a leading academic division renowned for its cutting-edge research and education in engineering and technology in Japan and worldwide.
  • E. Faculty of Engineering
    The Faculty of Engineering at Pontifical Xavierian University is an academic division that offers undergraduate and graduate programs in various engineering disciplines, combining technical education with research and innovation.
  • 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: [University of Liverpool, hasFaculty, Faculty of Science and Engineering]
Generated description
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.
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 the University of Liverpool 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 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 Engineering and Applied Science
    The Faculty of Engineering and Applied Science is Queen's University at Kingston's engineering school, offering undergraduate and graduate programs in engineering and related applied science disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Tokyo is a leading academic division renowned for its cutting-edge research and education in engineering and technology in Japan and worldwide.
  • E. Faculty of Engineering
    The Faculty of Engineering at Pontifical Xavierian University is an academic division that offers undergraduate and graduate programs in various engineering disciplines, combining technical education with research and innovation.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04f4efc819082767a7517fa760a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.