Triple

T13153853
Position Surface form Disambiguated ID Type / Status
Subject 3rd Mountain Division E312531 entity
Predicate notableCommander P1197 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: [3rd Mountain Division, notableCommander, Eduard Dietl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eduard Dietl
Context triple: [3rd Mountain Division, notableCommander, 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. Josef von Leeb
    Josef von Leeb was a German military officer and the son of Field Marshal Wilhelm von Leeb.
  • D. Franz Gürtner
    Franz Gürtner was a German jurist and politician who served as Minister of Justice under both the Weimar Republic and Nazi regime, playing a key role in providing legal cover for Nazi policies.
  • E. Oskar von Miller
    Oskar von Miller was a German engineer and pioneering museum founder best known for establishing Munich’s Deutsches Museum, one of the world’s leading science and technology museums.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaee8aa0819089994b85d56c7740 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.