Triple

T2802563
Position Surface form Disambiguated ID Type / Status
Subject University of Helsinki E53179 entity
Predicate memberOf P10 FINISHED
Object UNA Europa E105988 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: UNA Europa | Statement: [University of Helsinki, memberOf, UNA Europa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNA Europa
Context triple: [University of Helsinki, memberOf, UNA Europa]
  • A. UNA Europa chosen
    UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
  • B. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • C. New Europe
    New Europe is a travel documentary series and accompanying book by Michael Palin in which he explores the culture, history, and landscapes of Eastern and Central European countries after the end of the Cold War.
  • D. Europol
    Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc671964c81908cff1cfbd70c3786 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.