Triple

T2842749
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Clausius E62506 entity
Predicate employer P7 FINISHED
Object University of Bonn E26729 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 Bonn | Statement: [Rudolf Clausius, employer, University of Bonn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Bonn
Context triple: [Rudolf Clausius, employer, University of Bonn]
  • A. University of Bonn chosen
    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.
  • B. University of Cologne
    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.
  • C. 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.
  • D. 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.
  • E. University of Tübingen
    The University of Tübingen is a historic German public research university renowned for its strengths in the humanities, natural sciences, and medicine.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69c9cd7f9b2c81908a1f77a9cc37a0be completed March 30, 2026, 1:10 a.m.
Created at: March 6, 2026, 10:01 p.m.