Triple

T5955453
Position Surface form Disambiguated ID Type / Status
Subject Maastricht University E132501 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Health, Medicine and Life Sciences
The Faculty of Health, Medicine and Life Sciences is a major academic division of Maastricht University specializing in education and research in healthcare, biomedical sciences, and life sciences.
E558241 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 Health, Medicine and Life Sciences | Statement: [Maastricht University, hasFaculty, Faculty of Health, Medicine and Life Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Health, Medicine and Life Sciences
Context triple: [Maastricht University, hasFaculty, Faculty of Health, Medicine and Life Sciences]
  • A. Faculty of Medicine, Health and Life Sciences
    The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
  • B. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
  • C. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
  • D. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is the University of Nottingham’s division responsible for education and research in medicine, healthcare, and related life sciences disciplines.
  • E. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is a major academic division of the University of Barcelona dedicated to education and research in medicine, health sciences, and related biomedical 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 Health, Medicine and Life Sciences
Triple: [Maastricht University, hasFaculty, Faculty of Health, Medicine and Life Sciences]
Generated description
The Faculty of Health, Medicine and Life Sciences is a major academic division of Maastricht University specializing in education and research in healthcare, biomedical sciences, and life sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Health, Medicine and Life Sciences
Target entity description: The Faculty of Health, Medicine and Life Sciences is a major academic division of Maastricht University specializing in education and research in healthcare, biomedical sciences, and life sciences.
  • A. Faculty of Medicine, Health and Life Sciences
    The Faculty of Medicine, Health and Life Sciences is a major academic division of Queen’s University Belfast that focuses on education and research in medicine, healthcare, and the life sciences.
  • B. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is Ghent University's academic division dedicated to education and research in medicine, healthcare, and biomedical sciences.
  • C. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is the division of Savitribai Phule Pune University responsible for education and research in medical, clinical, and health-related disciplines.
  • D. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is McGill University’s medical and health sciences faculty, encompassing education and research in medicine, nursing, and related health professions.
  • E. Faculty of Medicine and Health Sciences
    The Faculty of Medicine and Health Sciences is the University of Nottingham’s division responsible for education and research in medicine, healthcare, and related life sciences 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c054a48190ace32250c43e29b4 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d77fb08190a24d319adc608df5 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0f4d9f7608190a1dc5fadf8c7a050 completed March 23, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c0f536b8108190bfe7907c488819f9 completed March 23, 2026, 8:09 a.m.
Created at: March 22, 2026, 4:02 p.m.