Triple

T397951
Position Surface form Disambiguated ID Type / Status
Subject Felix Klein E9214 entity
Predicate employer P7 FINISHED
Object Leipzig University E11945 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: Leipzig University | Statement: [Felix Klein, employer, Leipzig University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipzig University
Context triple: [Felix Klein, employer, Leipzig University]
  • A. University of Leipzig chosen
    The University of Leipzig is one of Germany’s oldest and most prestigious universities, renowned for its contributions to research and education in the humanities, natural sciences, and social sciences.
  • B. Humboldt University of Berlin
    Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
  • C. 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.
  • D. University of Hamburg
    The University of Hamburg is a major public research university in Hamburg, Germany, known for its wide range of academic disciplines and significant contributions to science and scholarship.
  • E. 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.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f024b48190b7c16820d5cee198 completed March 2, 2026, 1:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.