Triple

T16589478
Position Surface form Disambiguated ID Type / Status
Subject Heinrich Gustav Magnus E403044 entity
Predicate employer P7 FINISHED
Object Friedrich Wilhelm University NE NERFINISHED

How this triple was built (3 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: Friedrich Wilhelm University | Statement: [Heinrich Gustav Magnus, employer, Friedrich Wilhelm University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich Wilhelm University
Context triple: [Heinrich Gustav Magnus, employer, Friedrich Wilhelm University]
  • A. University of Leipzig
    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. University of Jena
    The University of Jena is a historic German higher education institution, renowned for its contributions to philosophy, science, and the humanities since its founding in the 16th century.
  • C. University of Halle
    The University of Halle is a historic German university, now part of Martin Luther University of Halle-Wittenberg, known as a major center of Enlightenment-era scholarship and philosophy.
  • D. University of Gießen
    The University of Gießen is a German public research university in Hesse, known especially for its strong programs in the natural sciences, life sciences, and humanities.
  • E. University of Potsdam
    The University of Potsdam is a public research university in Potsdam, Germany, known for its strong programs in humanities, social sciences, and natural sciences and its close collaboration with nearby research institutes in the Berlin-Brandenburg region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Friedrich Wilhelm University
Target entity description: Friedrich Wilhelm University was the historical name of the Humboldt University of Berlin, a leading German institution of higher education and research founded in the early 19th century.
  • A. University of Leipzig
    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. University of Jena
    The University of Jena is a historic German higher education institution, renowned for its contributions to philosophy, science, and the humanities since its founding in the 16th century.
  • C. University of Halle
    The University of Halle is a historic German university, now part of Martin Luther University of Halle-Wittenberg, known as a major center of Enlightenment-era scholarship and philosophy.
  • D. University of Gießen
    The University of Gießen is a German public research university in Hesse, known especially for its strong programs in the natural sciences, life sciences, and humanities.
  • E. University of Potsdam
    The University of Potsdam is a public research university in Potsdam, Germany, known for its strong programs in humanities, social sciences, and natural sciences and its close collaboration with nearby research institutes in the Berlin-Brandenburg region.
  • F. None of above. chosen

Provenance (2 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
Created at: April 10, 2026, 5:16 a.m.