Triple

T10172329
Position Surface form Disambiguated ID Type / Status
Subject Baden District E235360 entity
Predicate contains P35 FINISHED
Object Teesdorf E790602 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: Teesdorf | Statement: [Baden District, contains, Teesdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teesdorf
Context triple: [Baden District, contains, Teesdorf]
  • A. Teesdorf chosen
    Teesdorf is a municipality in Lower Austria known for its motorsport testing facilities and rural setting south of Vienna.
  • B. Ruppersdorf
    Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
  • C. Degendorf
    Degendorf is a locality within the Bavarian town and district of Lichtenfels in Germany.
  • D. Friedrichsdorf
    Friedrichsdorf is a town in the German state of Hesse, located north of Frankfurt and known historically for its Huguenot heritage and proximity to the Taunus mountains.
  • E. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3178844c48190af952ac30a4d6d97 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:10 p.m.