Triple

T13469183
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Mössbauer E311583 entity
Predicate employer P7 FINISHED
Object Technical University of Munich E24177 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: Technical University of Munich | Statement: [Rudolf Mössbauer, employer, Technical University of Munich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Technical University of Munich
Context triple: [Rudolf Mössbauer, employer, Technical University of Munich]
  • A. Technical University of Munich chosen
    The Technical University of Munich is a leading German research university renowned for its excellence in engineering, natural sciences, and technology, as well as its strong industry partnerships and innovation.
  • B. 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.
  • C. University of Karlsruhe
    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).
  • D. RWTH Aachen University
    RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
  • E. University of Stuttgart
    The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547d4f20819096765e125396e471 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:42 p.m.