Triple

T1851516
Position Surface form Disambiguated ID Type / Status
Subject Gustav von Kahr E41604 entity
Predicate placeOfBirth P1 FINISHED
Object Weissenburg in Bayern E97816 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: Weissenburg in Bayern | Statement: [Gustav von Kahr, placeOfBirth, Weissenburg in Bayern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weissenburg in Bayern
Context triple: [Gustav von Kahr, placeOfBirth, Weissenburg in Bayern]
  • A. Weißenburg in Bayern chosen
    Weißenburg in Bayern is a historic town in Bavaria, Germany, known for its well-preserved medieval old town and Roman archaeological sites.
  • B. Giengen an der Brenz
    Giengen an der Brenz is a small town in the state of Baden-Württemberg in southern Germany, known as the birthplace of the Steiff teddy bear.
  • C. Heidenheim an der Brenz
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • D. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • E. Oberwallenstadt
    Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06829b081908767b3df5524c7d4 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c81f2c81908339f6a1d1987631 completed March 8, 2026, 7:11 p.m.
Created at: March 4, 2026, 7:33 p.m.