Triple

T1073214
Position Surface form Disambiguated ID Type / Status
Subject Michael Polanyi E23375 entity
Predicate educatedAt P5 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: [Michael Polanyi, educatedAt, University of Karlsruhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Karlsruhe
Context triple: [Michael Polanyi, educatedAt, 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. RWTH Aachen University
    RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
  • E. Technical University of Munich
    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.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92afad88190b7705923f71fc760 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad718263f08190b0f03d583abdad10 completed March 8, 2026, 12:54 p.m.
Created at: March 1, 2026, 7:42 p.m.