Triple

T1293183
Position Surface form Disambiguated ID Type / Status
Subject Klara Hitler E27592 entity
Predicate residence P75 FINISHED
Object Braunau am Inn, Austria-Hungary E8438 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: Braunau am Inn, Austria-Hungary | Statement: [Klara Hitler, residence, Braunau am Inn, Austria-Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunau am Inn, Austria-Hungary
Context triple: [Klara Hitler, residence, Braunau am Inn, Austria-Hungary]
  • A. Braunau am Inn chosen
    Braunau am Inn is a small Austrian town on the border with Germany, historically known as the birthplace of Adolf Hitler.
  • 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. Anif, Austria
    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.
  • D. Kirchstetten, Austria
    Kirchstetten, Austria is a small Lower Austrian village best known as the longtime home of poet W. H. Auden, whose former house there is now a literary memorial.
  • E. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0f09d5c81909e6dc036fe9c5b4a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e6027448190b10c65bcafe9fedf completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:51 p.m.