Triple

T903718
Position Surface form Disambiguated ID Type / Status
Subject NOVA University Lisbon E19500 entity
Predicate hasFaculty P141 FINISHED
Object NOVA Institute of Hygiene and Tropical Medicine
NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
E106467 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: NOVA Institute of Hygiene and Tropical Medicine | Statement: [NOVA University Lisbon, hasFaculty, NOVA Institute of Hygiene and Tropical Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOVA Institute of Hygiene and Tropical Medicine
Context triple: [NOVA University Lisbon, hasFaculty, NOVA Institute of Hygiene and Tropical Medicine]
  • A. High Institute of Public Health
    The High Institute of Public Health is a specialized academic and research institution in Egypt focused on training professionals and conducting studies in public health and related fields.
  • B. London School of Hygiene & Tropical Medicine
    The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
  • C. Instituto de Investigaciones Clínicas
    Instituto de Investigaciones Clínicas is a medical research institute of the National University of San Marcos in Peru, dedicated to advancing clinical and biomedical science.
  • D. Academy of Sciences for the Developing World
    The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
  • E. Division for the Application of Research Discoveries
    The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
  • 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: NOVA Institute of Hygiene and Tropical Medicine
Triple: [NOVA University Lisbon, hasFaculty, NOVA Institute of Hygiene and Tropical Medicine]
Generated description
NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NOVA Institute of Hygiene and Tropical Medicine
Target entity description: NOVA Institute of Hygiene and Tropical Medicine is a specialized public health and biomedical research and teaching institution in Lisbon focused on hygiene, tropical medicine, and global health.
  • A. High Institute of Public Health
    The High Institute of Public Health is a specialized academic and research institution in Egypt focused on training professionals and conducting studies in public health and related fields.
  • B. London School of Hygiene & Tropical Medicine
    The London School of Hygiene & Tropical Medicine is a leading postgraduate public health and tropical medicine institution renowned for its research and training in global health.
  • C. Instituto de Investigaciones Clínicas
    Instituto de Investigaciones Clínicas is a medical research institute of the National University of San Marcos in Peru, dedicated to advancing clinical and biomedical science.
  • D. Academy of Sciences for the Developing World
    The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
  • E. Division for the Application of Research Discoveries
    The Division for the Application of Research Discoveries is a branch of the National Heart, Lung, and Blood Institute focused on translating scientific findings into practical strategies, programs, and tools to improve public health.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad58334881908df191140b786780 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c736bb6c8190a9cad1ef536be785 completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c7a5f03c81908bd3ed9eb3710141 completed March 4, 2026, 5:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7c888cd98819082dc39739d14dc67 completed March 4, 2026, 5:52 a.m.
Created at: March 1, 2026, 7:39 p.m.