Triple

T13368766
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Medicine, Autonomous University of Madrid E319007 entity
Predicate affiliatedWith P254 FINISHED
Object Instituto de Investigación Sanitaria Princesa (IIS Princesa)
Instituto de Investigación Sanitaria Princesa (IIS Princesa) is a biomedical research institute in Madrid that integrates hospital, university, and basic science efforts to advance translational medicine and healthcare innovation.
E1037712 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: Instituto de Investigación Sanitaria Princesa (IIS Princesa) | Statement: [Faculty of Medicine, Autonomous University of Madrid, affiliatedWith, Instituto de Investigación Sanitaria Princesa (IIS Princesa)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Instituto de Investigación Sanitaria Princesa (IIS Princesa)
Context triple: [Faculty of Medicine, Autonomous University of Madrid, affiliatedWith, Instituto de Investigación Sanitaria Princesa (IIS Princesa)]
  • A. Instituto de Investigaciones en Salud
    Instituto de Investigaciones en Salud is a health research institute of the University of Costa Rica dedicated to advancing biomedical and public health knowledge.
  • B. 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.
  • C. Institut d’Investigacions Biomèdiques August Pi i Sunyer
    The Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) is a leading biomedical research institute in Barcelona focused on translational research to improve the understanding, diagnosis, and treatment of human diseases.
  • D. University Hospital Virgen de las Nieves
    University Hospital Virgen de las Nieves is a major public teaching and referral hospital in Granada, Spain, serving as a key clinical and research center for the region.
  • E. Institute of Biomedical Research and Innovation Hospital
    The Institute of Biomedical Research and Innovation Hospital is a cutting-edge medical and research facility in Kobe, Japan, specializing in advanced clinical care and translational biomedical 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: Instituto de Investigación Sanitaria Princesa (IIS Princesa)
Triple: [Faculty of Medicine, Autonomous University of Madrid, affiliatedWith, Instituto de Investigación Sanitaria Princesa (IIS Princesa)]
Generated description
Instituto de Investigación Sanitaria Princesa (IIS Princesa) is a biomedical research institute in Madrid that integrates hospital, university, and basic science efforts to advance translational medicine and healthcare innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Instituto de Investigación Sanitaria Princesa (IIS Princesa)
Target entity description: Instituto de Investigación Sanitaria Princesa (IIS Princesa) is a biomedical research institute in Madrid that integrates hospital, university, and basic science efforts to advance translational medicine and healthcare innovation.
  • A. Instituto de Investigaciones en Salud
    Instituto de Investigaciones en Salud is a health research institute of the University of Costa Rica dedicated to advancing biomedical and public health knowledge.
  • B. 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.
  • C. Institut d’Investigacions Biomèdiques August Pi i Sunyer
    The Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) is a leading biomedical research institute in Barcelona focused on translational research to improve the understanding, diagnosis, and treatment of human diseases.
  • D. University Hospital Virgen de las Nieves
    University Hospital Virgen de las Nieves is a major public teaching and referral hospital in Granada, Spain, serving as a key clinical and research center for the region.
  • E. Institute of Biomedical Research and Innovation Hospital
    The Institute of Biomedical Research and Innovation Hospital is a cutting-edge medical and research facility in Kobe, Japan, specializing in advanced clinical care and translational biomedical research.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:33 p.m.