Triple

T22557152
Position Surface form Disambiguated ID Type / Status
Subject Carl von Linde E557716 entity
Predicate placeOfBirth P1 FINISHED
Object Berndorf NE NERFINISHED

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: Berndorf | Statement: [Carl von Linde, placeOfBirth, Berndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berndorf
Context triple: [Carl von Linde, placeOfBirth, Berndorf]
  • A. Berndorf chosen
    Berndorf is a small locality in Germany known historically as the birthplace of the pioneering refrigeration engineer Carl von Linde.
  • B. Berndorf
    Berndorf is a small industrial town in Lower Austria known for its historic metalworking industry and characteristic workers’ housing estates.
  • C. Parndorf
    Parndorf is a town in eastern Austria’s Burgenland region, known for its large designer outlet shopping center and proximity to major transport routes.
  • D. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • E. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.