Triple

T846887
Position Surface form Disambiguated ID Type / Status
Subject Leopold Kronecker E18296 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: [Leopold Kronecker, employer, University of Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Berlin
Context triple: [Leopold Kronecker, 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac0ba6b4819089c15ed7e1765502 completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51462e64819090dc5a0f200ee7a0 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:38 p.m.