Triple

T420808
Position Surface form Disambiguated ID Type / Status
Subject Operation Weserübung E8096 entity
Predicate commander P1061 FINISHED
Object Eduard Dietl E61874 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: Eduard Dietl | Statement: [Operation Weserübung, commander, Eduard Dietl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eduard Dietl
Context triple: [Operation Weserübung, commander, Eduard Dietl]
  • A. Eduard Dietl chosen
    Eduard Dietl was a German Wehrmacht general during World War II, noted for his leadership of mountain troops and his prominent role in early Nazi military campaigns.
  • B. Wilhelm von Leeb
    Wilhelm von Leeb was a German field marshal in the Wehrmacht during World War II, best known for leading Army Group North in the invasion of the Soviet Union.
  • C. Erich Dietl
    Erich Dietl was a German Wehrmacht general during World War II, noted for his leadership of mountain troops on the Eastern Front and in Norway.
  • D. Wilhelm Batz
    Wilhelm Batz was a German Luftwaffe fighter ace of World War II credited with over 200 aerial victories on the Eastern Front.
  • E. Gustav von Seyffertitz
    Gustav von Seyffertitz was a German-born character actor of the silent and early sound film era, known for his distinctive aristocratic and often villainous roles in Hollywood cinema.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eebf65cc81908196fee4f09d5889 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b82d2d5c8190b5cd8779fcbc8e81 completed March 4, 2026, 4:42 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.