Triple

T7065865
Position Surface form Disambiguated ID Type / Status
Subject University of Las Palmas de Gran Canaria E164349 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Health Sciences
The Faculty of Health Sciences is an academic division of the University of Las Palmas de Gran Canaria dedicated to education and research in health-related disciplines and the training of healthcare professionals.
E638573 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 Sciences | Statement: [University of Las Palmas de Gran Canaria, hasFaculty, Faculty of Health Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Health Sciences
Context triple: [University of Las Palmas de Gran Canaria, hasFaculty, Faculty of Health Sciences]
  • A. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of the University of La Serena dedicated to education and research in health-related disciplines and the training of healthcare professionals.
  • B. Faculty of Health Sciences
    The Faculty of Health Sciences is the public health and health-related academic division of the American University of Beirut, offering education and research programs focused on improving population health in Lebanon and the broader region.
  • C. Faculty of Health Sciences
    The Faculty of Health Sciences is a division of the Jagiellonian University in Kraków that focuses on education and research in public health, nursing, midwifery, and related health professions.
  • D. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of the University of Swaziland dedicated to education and research in health-related disciplines and the training of healthcare professionals.
  • E. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of the Witwatersrand is a leading South African academic division dedicated to training healthcare professionals and advancing medical and health-related research.
  • 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 Sciences
Triple: [University of Las Palmas de Gran Canaria, hasFaculty, Faculty of Health Sciences]
Generated description
The Faculty of Health Sciences is an academic division of the University of Las Palmas de Gran Canaria dedicated to education and research in health-related disciplines and the training of healthcare professionals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Health Sciences
Target entity description: The Faculty of Health Sciences is an academic division of the University of Las Palmas de Gran Canaria dedicated to education and research in health-related disciplines and the training of healthcare professionals.
  • A. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of the Medical University of Gdańsk that educates healthcare professionals and conducts research in health-related disciplines.
  • B. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of Universidad Intercontinental dedicated to education and research in health-related disciplines and professions.
  • C. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of the University of La Serena dedicated to education and research in health-related disciplines and the training of healthcare professionals.
  • D. Faculty of Health Sciences
    The Faculty of Health Sciences at the University of Nairobi is an academic division that trains healthcare professionals and conducts research in medical and health-related fields.
  • E. Faculty of Health Sciences
    The Faculty of Health Sciences is an academic division of Université Quisqueya dedicated to education and research in medical and health-related 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4a4e7188190aef123ff1a2aa473 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c788bd74d88190bf2f52c95404d9bf completed March 28, 2026, 7:52 a.m.
NEDg Description generation batch_69c7892a387c8190856eac695fbcfb02 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c789bc4fa081908cf40ec8ff189b90 completed March 28, 2026, 7:56 a.m.
Created at: March 27, 2026, 2:39 p.m.