Triple

T3717078
Position Surface form Disambiguated ID Type / Status
Subject CAPTOR-E E81556 entity
Predicate developedBy P73 FINISHED
Object Hensoldt E81229 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: Hensoldt | Statement: [CAPTOR-E, developedBy, Hensoldt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hensoldt
Context triple: [CAPTOR-E, developedBy, Hensoldt]
  • A. Hensoldt chosen
    Hensoldt is a German defense and security electronics company specializing in advanced sensor solutions such as radars, optronics, and electronic warfare systems.
  • B. Krauss-Maffei Wegmann
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • C. 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.
  • D. Lippisch
    Lippisch is a German surname most notably associated with Alexander Lippisch, a pioneering aeronautical engineer known for his work on delta-wing aircraft designs.
  • E. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9d087c881909f6d2ec6e518fb02 completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce1260948190b4707337e9427c2c completed March 14, 2026, 2:55 a.m.
Created at: March 8, 2026, 3:33 p.m.