Triple

T17723117
Position Surface form Disambiguated ID Type / Status
Subject National University of Asunción E442391 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine NE NERFINISHED

How this triple was built (3 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 Medicine | Statement: [National University of Asunción, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [National University of Asunción, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at Utrecht University is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • B. Faculty of Medicine
    The Faculty of Medicine at the University of Latvia is a higher education and research institution specializing in medical training, clinical education, and biomedical research.
  • C. Faculty of Medicine
    The Faculty of Medicine is the core academic division of Hannover Medical School responsible for medical education, research, and clinical training.
  • D. Faculty of Medicine
    The Faculty of Medicine at the University of Aleppo is a major medical school in Syria that trains physicians and conducts research and clinical education in the health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical education and research division of Tokyo Medical and Dental University, responsible for training physicians and advancing medical science.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Target entity description: The Faculty of Medicine is the medical school of the National University of Asunción, responsible for training physicians and conducting medical research and education in Paraguay.
  • A. Faculty of Medicine
    The Faculty of Medicine is the medical school of the National University of San Marcos in Peru, responsible for training physicians and conducting research in health sciences.
  • B. Faculty of Medicine
    The Faculty of Medicine at the National University of Córdoba is a major Argentine medical school known for training physicians and conducting research in health sciences.
  • C. Faculty of Medicine
    The Faculty of Medicine is the medical school of the National University of Trujillo in Peru, responsible for training physicians and conducting health-related research and clinical education.
  • D. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Federal University of Rio Grande do Sul in Brazil, responsible for training physicians and conducting research in health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Universidad Mayor de San Simón, responsible for training physicians and conducting health-related research and clinical education.
  • F. None of above. chosen

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47487b4988190b14237a4e6376e9a completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:07 a.m.