Triple

T4708808
Position Surface form Disambiguated ID Type / Status
Subject Auckland University of Technology E104457 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Health and Environmental Sciences
The Faculty of Health and Environmental Sciences is a division of Auckland University of Technology that focuses on education and research in health-related and environmental disciplines.
E464210 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 and Environmental Sciences | Statement: [Auckland University of Technology, hasFaculty, Faculty of Health and Environmental Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Health and Environmental Sciences
Context triple: [Auckland University of Technology, hasFaculty, Faculty of Health and Environmental Sciences]
  • A. 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.
  • B. 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.
  • C. Faculty of Health Sciences
    The Faculty of Health Sciences at Trinity College Dublin is an academic division that provides education and research in disciplines related to medicine, nursing, and allied health professions.
  • D. 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.
  • E. Faculty of Health Sciences
    The Faculty of Health Sciences is the division of Queen's University at Kingston that oversees education and research in medicine, nursing, rehabilitation, and related health professions.
  • 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 and Environmental Sciences
Triple: [Auckland University of Technology, hasFaculty, Faculty of Health and Environmental Sciences]
Generated description
The Faculty of Health and Environmental Sciences is a division of Auckland University of Technology that focuses on education and research in health-related and environmental disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Health and Environmental Sciences
Target entity description: The Faculty of Health and Environmental Sciences is a division of Auckland University of Technology that focuses on education and research in health-related and environmental disciplines.
  • A. Faculty of Health Sciences
    The Faculty of Health Sciences is the division of Queen's University at Kingston that oversees education and research in medicine, nursing, rehabilitation, and related health professions.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ed2ed081908cd52570ba085806 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10721b88819093be46bc5cae17c0 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be1452eba88190bf982ab0f464e96f completed March 21, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69be14ca370481909c5e144e63ceb495 completed March 21, 2026, 3:47 a.m.
Created at: March 20, 2026, 1:17 p.m.