Triple

T1180042
Position Surface form Disambiguated ID Type / Status
Subject Prince Albert of Saxe-Coburg and Gotha E25113 entity
Predicate educatedAt P5 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: [Prince Albert of Saxe-Coburg and Gotha, educatedAt, University of Bonn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Bonn
Context triple: [Prince Albert of Saxe-Coburg and Gotha, educatedAt, 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd1226fc819083d526ecd22af8ef completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c342f8f4819095cdf17553c02268 completed March 14, 2026, 2:09 a.m.
Created at: March 1, 2026, 7:45 p.m.