Triple

T3802782
Position Surface form Disambiguated ID Type / Status
Subject Graz E91728 entity
Predicate hasUniversity P113 FINISHED
Object Medical University of Graz E86403 NE FINISHED

How this triple was built (2 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: Medical University of Graz | Statement: [Graz, hasUniversity, Medical University of Graz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medical University of Graz
Context triple: [Graz, hasUniversity, Medical University of Graz]
  • A. University of Graz chosen
    The University of Graz is one of Austria’s oldest and largest universities, renowned for its contributions to science and the humanities and for having hosted prominent scholars such as physicist Ludwig Boltzmann.
  • B. University of Innsbruck
    The University of Innsbruck is a major Austrian public research university located in the city of Innsbruck, known for its strong programs across the sciences and humanities and its Alpine setting.
  • C. Johannes Kepler University Linz
    Johannes Kepler University Linz is a public research university in Linz, Austria, known for its strong programs in science, engineering, business, and law.
  • D. Austrian Polytechnic in Graz
    The Austrian Polytechnic in Graz was a 19th-century technical institute in Graz, Austria, known for training engineers and scientists, including inventor Nikola Tesla.
  • E. Collegium Medicum
    Collegium Medicum is the medical college of the Jagiellonian University in Kraków, Poland, encompassing its faculties of medicine, pharmacy, and health sciences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f06889c88190ab4d8da7f0dfeadd completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.