Triple

T1403227
Position Surface form Disambiguated ID Type / Status
Subject Jagiellonian University E31631 entity
Predicate memberOf P10 FINISHED
Object Europaeum E33680 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: Europaeum | Statement: [Jagiellonian University, memberOf, Europaeum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Europaeum
Context triple: [Jagiellonian University, memberOf, Europaeum]
  • A. Europaeum chosen
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • B. UNA Europa
    UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
  • C. Europol
    Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
  • D. Societas Europaea
    Societas Europaea is a public limited-liability company structure under European Union law that allows firms to operate across EU member states with a single, unified corporate form.
  • E. Europe
    Europe is a diverse continent in the Northern Hemisphere known for its rich history, cultural heritage, and significant influence on global politics, economics, and science.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde39d14c81909a76704c8e16c744 completed March 8, 2026, 2:26 a.m.
Created at: March 1, 2026, 7:59 p.m.