Triple

T16773091
Position Surface form Disambiguated ID Type / Status
Subject IRIS-T SLM E407650 entity
Predicate manufacturer P490 FINISHED
Object Diehl Defence E885598 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: Diehl Defence | Statement: [IRIS-T SLM, manufacturer, Diehl Defence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diehl Defence
Context triple: [IRIS-T SLM, manufacturer, Diehl Defence]
  • A. Diehl BGT Defence chosen
    Diehl BGT Defence is a German defense company specializing in advanced guided missile and air defense systems.
  • B. 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.
  • C. RUAG Aerospace
    RUAG Aerospace is a Swiss aerospace company specializing in the development and production of advanced aerostructures, space technology, and defense-related aviation systems.
  • D. Krauss-Maffei Wegmann
    Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
  • E. Panavia Aircraft GmbH
    Panavia Aircraft GmbH is a multinational aerospace consortium formed by the UK, Germany, and Italy to design, develop, and produce the Panavia Tornado combat aircraft.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b037c5708190ba604e7707b5a8a2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafa19888190bb7f96591f363867 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.