Triple

T10794501
Position Surface form Disambiguated ID Type / Status
Subject Linköping University E254667 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Science and Engineering
The Faculty of Science and Engineering is a major academic division of Linköping University in Sweden, offering education and research in fields such as engineering, computer science, natural sciences, and related technologies.
E885484 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: [Linköping University, 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: [Linköping University, hasFaculty, Faculty of Science and Engineering]
  • A. 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.
  • B. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of Doshisha University that offers education and research programs across various scientific and engineering disciplines.
  • C. Faculty of Science and Engineering
    The Faculty of Science and Engineering is an academic division of the University of Plymouth that delivers teaching and research across 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 a major academic division of the University of Liverpool that delivers teaching and research across a broad range of scientific and engineering 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: [Linköping University, hasFaculty, Faculty of Science and Engineering]
Generated description
The Faculty of Science and Engineering is a major academic division of Linköping University in Sweden, offering education and research in fields such as engineering, computer science, natural sciences, and related technologies.
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 Linköping University in Sweden, offering education and research in fields such as engineering, computer science, natural sciences, and related technologies.
  • A. Faculty of Science and Engineering
    The Faculty of Science and Engineering is a division of Åbo Akademi University that focuses on education and research in natural sciences, technology, and related engineering disciplines.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Faculty of Science and Engineering
    The Faculty of Science and Engineering at the University of Manchester is a major academic division encompassing a wide range of scientific and engineering disciplines, research institutes, and teaching programs.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.