Triple

T900739
Position Surface form Disambiguated ID Type / Status
Subject Eliette von Karajan E19439 entity
Predicate residence P75 FINISHED
Object Anif, Austria E21395 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: Anif, Austria | Statement: [Eliette von Karajan, residence, Anif, Austria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anif, Austria
Context triple: [Eliette von Karajan, residence, Anif, Austria]
  • A. Anif, Austria chosen
    Anif, Austria is a small municipality near Salzburg known for its picturesque setting and as the final resting place of famed conductor Herbert von Karajan.
  • B. Haag, Austria
    Haag, Austria is a small town in Lower Austria best known as the birthplace of influential Bauhaus designer and artist Herbert Bayer.
  • C. Bad Ischl, Austria
    Bad Ischl, Austria is a historic spa town in the Salzkammergut region, renowned as a former summer residence of Emperor Franz Joseph I and a popular health resort.
  • D. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • E. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad42ecac81909f8bc554d2fe0363 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac762e945c8190a4716a2115689b20 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:39 p.m.