Triple

T15105774
Position Surface form Disambiguated ID Type / Status
Subject Nicholas of Cusa E360783 entity
Predicate educatedAt P5 FINISHED
Object University of Cologne E38470 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: University of Cologne | Statement: [Nicholas of Cusa, educatedAt, University of Cologne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Cologne
Context triple: [Nicholas of Cusa, educatedAt, University of Cologne]
  • A. University of Cologne chosen
    The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
  • B. University of Bonn
    The University of Bonn is a major public research university in Bonn, Germany, renowned for its strong programs in the humanities and sciences and its long tradition of scholarly excellence.
  • C. University of Münster
    The University of Münster is a major public research university in the German city of Münster, known for its broad range of academic disciplines and significant contributions to science and humanities.
  • D. Heinrich Heine University Düsseldorf
    Heinrich Heine University Düsseldorf is a public research university in Düsseldorf, Germany, known for its strong programs in medicine, natural sciences, and humanities.
  • E. University of Siegen
    The University of Siegen is a public research university in Siegen, Germany, known for its programs in engineering, natural sciences, humanities, and social 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883db3d888190a737968796e13f79 completed May 16, 2026, 2:49 p.m.
Created at: April 10, 2026, 3:05 a.m.