Triple

T18623653
Position Surface form Disambiguated ID Type / Status
Subject Duke of Jägerndorf E455219 entity
Predicate associatedWith P37 FINISHED
Object Jägerndorf 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: Jägerndorf | Statement: [Duke of Jägerndorf, associatedWith, Jägerndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jägerndorf
Context triple: [Duke of Jägerndorf, associatedWith, Jägerndorf]
  • A. Jägerndorf chosen
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • B. Ehrenfriedersdorf
    Ehrenfriedersdorf is a historic mining town in Saxony, Germany, known for its long tradition of tin and silver extraction in the Ore Mountains.
  • C. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • D. Deutschendorf
    Deutschendorf is the original surname of American singer-songwriter and environmental activist John Denver, known for hits like "Take Me Home, Country Roads."
  • E. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f02dc248190a82341eeb2473593 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.