Triple

T13527802
Position Surface form Disambiguated ID Type / Status
Subject School of Physical Sciences E323055 entity
Predicate parentOrganization P254 FINISHED
Object Faculty of Science and Engineering, University of Liverpool
The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and mathematics disciplines, supporting research and teaching across these fields.
E13148 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, University of Liverpool | Statement: [School of Physical Sciences, parentOrganization, Faculty of Science and Engineering, University of Liverpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Engineering, University of Liverpool
Context triple: [School of Physical Sciences, parentOrganization, Faculty of Science and Engineering, University of Liverpool]
  • A. University of Liverpool
    The University of Liverpool is a major public research university in Liverpool, England, known for its strong emphasis on science and engineering, membership in leading research collaborations, and global academic reputation.
  • B. Faculty of Science and Technology, Lancaster University
    The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
  • C. Faculty of Sciences, University of York
    The Faculty of Sciences at the University of York is the academic division that oversees and coordinates the university’s science departments and research activities.
  • D. University of Liverpool Council
    The University of Liverpool Council is the university’s governing body responsible for overall strategic direction, financial oversight, and high-level decision-making.
  • E. UCLan Faculty of Science and Technology
    UCLan Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a broad range of scientific and technological 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, University of Liverpool
Triple: [School of Physical Sciences, parentOrganization, Faculty of Science and Engineering, University of Liverpool]
Generated description
The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and mathematics disciplines, supporting research and teaching across these fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Science and Engineering, University of Liverpool
Target entity description: The Faculty of Science and Engineering at the University of Liverpool is an academic division that encompasses a range of science, technology, engineering, and mathematics disciplines, supporting research and teaching across these fields.
  • A. University of Liverpool chosen
    The University of Liverpool is a major public research university in Liverpool, England, known for its strong emphasis on science and engineering, membership in leading research collaborations, and global academic reputation.
  • B. Faculty of Science and Technology, Lancaster University
    The Faculty of Science and Technology at Lancaster University is an academic division encompassing a range of science, engineering, and technology departments, supporting research and teaching across these disciplines.
  • C. Faculty of Sciences, University of York
    The Faculty of Sciences at the University of York is the academic division that oversees and coordinates the university’s science departments and research activities.
  • D. University of Liverpool Council
    The University of Liverpool Council is the university’s governing body responsible for overall strategic direction, financial oversight, and high-level decision-making.
  • E. UCLan Faculty of Science and Technology
    UCLan Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a broad range of scientific and technological disciplines.
  • F. None of above.

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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549dda6481908e9305690488b1af completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7555173d08190be887e81c148192e completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f75675df788190b4aa562fe0bc1d75 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:44 p.m.