Triple

T2891387
Position Surface form Disambiguated ID Type / Status
Subject Department of Physics, Lancaster University E63831 entity
Predicate affiliation P10 FINISHED
Object 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.
 E307517 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 Technology, Lancaster University | Statement: [Department of Physics, Lancaster University, affiliation, Faculty of Science and Technology, Lancaster University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faculty of Science and Technology, Lancaster University
Context triple: [Department of Physics, Lancaster University, affiliation, Faculty of Science and Technology, Lancaster University]
  • A. Department of Engineering, Lancaster University
    The Department of Engineering at Lancaster University is a multidisciplinary engineering school known for its research and teaching in areas such as mechanical, electronic, chemical, and nuclear engineering.
  • B. Department of Physics, Lancaster University
    The Department of Physics at Lancaster University is a leading UK physics department known for its research in areas such as condensed matter physics, particle physics, and cosmology, alongside strong undergraduate and postgraduate teaching programs.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Al-Quds University offering undergraduate and graduate programs in scientific and technological disciplines.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a range of scientific and technological disciplines.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at Airlangga University is an academic unit that offers undergraduate and graduate programs in scientific and technological disciplines, supporting research and innovation in these fields.
  • 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 Technology, Lancaster University
Triple: [Department of Physics, Lancaster University, affiliation, Faculty of Science and Technology, Lancaster University]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faculty of Science and Technology, Lancaster University
Target entity description: 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.
  • A. Department of Engineering, Lancaster University
    The Department of Engineering at Lancaster University is a multidisciplinary engineering school known for its research and teaching in areas such as mechanical, electronic, chemical, and nuclear engineering.
  • B. Department of Physics, Lancaster University
    The Department of Physics at Lancaster University is a leading UK physics department known for its research in areas such as condensed matter physics, particle physics, and cosmology, alongside strong undergraduate and postgraduate teaching programs.
  • C. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of Al-Quds University offering undergraduate and graduate programs in scientific and technological disciplines.
  • D. Faculty of Science and Technology
    The Faculty of Science and Technology is an academic division of the University of Central Lancashire that delivers teaching and research across a range of scientific and technological disciplines.
  • E. Faculty of Science and Technology
    The Faculty of Science and Technology at Airlangga University is an academic unit that offers undergraduate and graduate programs in scientific and technological disciplines, supporting research and innovation in these fields.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe05f98848190a33344fa780a3597 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b034b304f8819096eda16e314912b4 completed March 10, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b03c60a5988190b015a1cf05068845 completed March 10, 2026, 3:44 p.m.
Created at: March 6, 2026, 10:07 p.m.