Triple

T14978944
Position Surface form Disambiguated ID Type / Status
Subject Kaplan turbine E373525 entity
Predicate namedAfter P63 FINISHED
Object Viktor Kaplan E301907 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: Viktor Kaplan | Statement: [Kaplan turbine, namedAfter, Viktor Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktor Kaplan
Context triple: [Kaplan turbine, namedAfter, Viktor Kaplan]
  • A. Viktor Kaplan chosen
    Viktor Kaplan was an Austrian engineer best known for inventing the Kaplan turbine, a highly efficient water turbine widely used in hydroelectric power plants.
  • B. George Voskovec
    George Voskovec was a Czech-American actor and playwright best known internationally for his role as Juror #11 in the classic courtroom drama film "12 Angry Men."
  • C. Ernst Vajda
    Ernst Vajda was a Hungarian-born playwright and screenwriter known for his sophisticated, witty scripts in early 20th-century European and Hollywood cinema.
  • D. Eduard Blutig
    Eduard Blutig is a pseudonym used by American writer and illustrator Edward Gorey, known for his macabre, Victorian-inspired illustrated stories.
  • E. Viktor Navorski
    Viktor Navorski is the fictional Eastern European traveler portrayed by Tom Hanks in the film "The Terminal," who becomes stranded living inside a New York airport due to a bureaucratic immigration limbo.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fcebf481909f72cab577560d82 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 2:51 a.m.