Triple

T17774357
Position Surface form Disambiguated ID Type / Status
Subject Emsdorf E443724 entity
Predicate hasNameInLanguage P15 FINISHED
Object Emsdorf (German) 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: Emsdorf (German) | Statement: [Emsdorf, hasNameInLanguage, Emsdorf (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emsdorf (German)
Context triple: [Emsdorf, hasNameInLanguage, Emsdorf (German)]
  • A. Emsdorf chosen
    Emsdorf is a village in the German state of Hesse, historically notable as the site of the Battle of Emsdorf during the Seven Years' War.
  • B. Ebersdorf
    Ebersdorf is a historic town in present-day Germany that once served as the capital of one of the small Reuss principalities.
  • C. Porschdorf
    Porschdorf is a village in Saxony, Germany, that forms part of the spa town and municipality of Bad Schandau in the Saxon Switzerland region.
  • D. Friesdorf
    Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • E. Dierdorf
    Dierdorf is a surname most prominently associated with former American football player and sportscaster Dan Dierdorf.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871af4248190aed2b3bd42433771 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.