Triple

T2962840
Position Surface form Disambiguated ID Type / Status
Subject Ursula von der Leyen E80087 entity
Predicate educatedAt P5 FINISHED
Object University of Münster E302179 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 Münster | Statement: [Ursula von der Leyen, educatedAt, University of Münster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Münster
Context triple: [Ursula von der Leyen, educatedAt, University of Münster]
  • A. University of Münster chosen
    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.
  • 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. University of Marburg
    The University of Marburg is one of Germany’s oldest universities and a prominent research institution, particularly renowned for its contributions to the natural sciences and medicine.
  • 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 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.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca1b0bc2108190bdb3915c0fd94ff1 completed March 30, 2026, 6:41 a.m.
Created at: March 8, 2026, 2:57 p.m.