Triple

T13365914
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Braun E318936 entity
Predicate employer P7 FINISHED
Object University of Karlsruhe E171057 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 Karlsruhe | Statement: [Ferdinand Braun, employer, University of Karlsruhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: University of Karlsruhe
Context triple: [Ferdinand Braun, employer, University of Karlsruhe]
  • A. University of Karlsruhe chosen
    The University of Karlsruhe was a prominent German technical university known for its strong engineering and natural sciences programs and later became part of the Karlsruhe Institute of Technology (KIT).
  • B. University of Stuttgart
    The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
  • C. Technical University of Darmstadt
    The Technical University of Darmstadt is a leading German research university renowned for its engineering, computer science, and natural sciences programs.
  • D. Technical University of Kaiserslautern
    The Technical University of Kaiserslautern is a German public research university specializing in science and engineering, recognized for its strong technical programs and innovative research.
  • E. RWTH Aachen University
    RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7397f098c8190a2062d8c1a74d28f completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:32 p.m.