Triple

T10401007
Position Surface form Disambiguated ID Type / Status
Subject Albert Wigand E245145 entity
Predicate employer P7 FINISHED
Object University of Marburg E64123 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 Marburg | Statement: [Albert Wigand, employer, University of Marburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Marburg
Context triple: [Albert Wigand, employer, University of Marburg]
  • A. University of Marburg chosen
    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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e2f11c8190b30695cba2975544 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:07 p.m.