Triple

T10198005
Position Surface form Disambiguated ID Type / Status
Subject Gerhard Gentzen E238811 entity
Predicate employer P7 FINISHED
Object University of Göttingen E374 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 Göttingen | Statement: [Gerhard Gentzen, employer, University of Göttingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Göttingen
Context triple: [Gerhard Gentzen, employer, University of Göttingen]
  • A. University of Göttingen chosen
    The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
  • 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 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.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3c44408190b09fa41f2d257c04 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6554d0b0081909cc031ff06b796c0 completed May 2, 2026, 7:49 p.m.
Created at: March 30, 2026, 9:13 p.m.