Triple

T414725
Position Surface form Disambiguated ID Type / Status
Subject Robert Koch E9566 entity
Predicate employer P7 FINISHED
Object University of Berlin E4311 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 Berlin | Statement: [Robert Koch, employer, University of Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Berlin
Context triple: [Robert Koch, employer, University of Berlin]
  • A. Humboldt University of Berlin chosen
    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.
  • B. University of Göttingen
    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.
  • 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 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.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee8d835881908403ea23901e52b3 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a533bc40ac81908426b70366259a3b completed March 2, 2026, 6:52 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.