Triple

T11389112
Position Surface form Disambiguated ID Type / Status
Subject Marchfeld E269785 entity
Predicate nearbyCity P350 FINISHED
Object Deutsch-Wagram E118315 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: Deutsch-Wagram | Statement: [Marchfeld, nearbyCity, Deutsch-Wagram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsch-Wagram
Context triple: [Marchfeld, nearbyCity, Deutsch-Wagram]
  • A. Deutsch-Wagram chosen
    Deutsch-Wagram is a town in Lower Austria best known as the nearby namesake of the 1809 Battle of Wagram during the Napoleonic Wars.
  • B. Austerlitz
    Austerlitz is the original family surname of legendary American dancer, singer, and actor Fred Astaire.
  • C. Battle of Wagram
    The Battle of Wagram was a major 1809 engagement of the Napoleonic Wars in which Napoleon decisively defeated the Austrian Empire, leading to French dominance in Central Europe.
  • D. Wagram
    Wagram is a Paris Métro station located in the 17th arrondissement, serving the residential and commercial areas around Avenue de Wagram.
  • E. Hohenfriedberger Marsch
    Hohenfriedberger Marsch is a famous Prussian military march, traditionally associated with Frederick the Great’s army and celebrated as one of the most iconic German marches.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.