Triple

T9645131
Position Surface form Disambiguated ID Type / Status
Subject TAM medium tank E233174 entity
Predicate manufacturer P490 FINISHED
Object Rheinmetall E41091 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: Rheinmetall | Statement: [TAM medium tank, manufacturer, Rheinmetall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rheinmetall
Context triple: [TAM medium tank, manufacturer, Rheinmetall]
  • A. Rheinmetall chosen
    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.
  • B. MOWAG
    MOWAG is a Swiss defense vehicle manufacturer best known for designing and producing the Piranha family of wheeled armored combat vehicles.
  • C. Rheinmetall BAE Systems Land
    Rheinmetall BAE Systems Land is a UK-based military vehicle and land systems manufacturer formed as a joint venture between German defense company Rheinmetall and British defense contractor BAE 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. 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.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a00a87081909d1e59aa7192a69c completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:12 p.m.