Triple

T20314397
Position Surface form Disambiguated ID Type / Status
Subject ICE 1 E510341 entity
Predicate manufacturer P490 FINISHED
Object Krauss-Maffei 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: Krauss-Maffei | Statement: [ICE 1, manufacturer, Krauss-Maffei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krauss-Maffei
Context triple: [ICE 1, manufacturer, Krauss-Maffei]
  • A. Krauss-Maffei Wegmann chosen
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • B. Siemens-Schuckertwerke
    Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
  • C. Diehl
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • D. Henschel & Sohn
    Henschel & Sohn was a German engineering and manufacturing company best known for producing heavy military vehicles, including tanks, during World War II.
  • E. Messerschmitt-Bölkow-Blohm
    Messerschmitt-Bölkow-Blohm was a major West German aerospace company known for producing military aircraft, helicopters, and space systems before becoming part of Airbus.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67745e2448190b5611382fe338bb2 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.