Triple

T1750141
Position Surface form Disambiguated ID Type / Status
Subject 88 mm Flak gun E38420 entity
Predicate developedBy P73 FINISHED
Object Krupp E31323 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: Krupp | Statement: [88 mm Flak gun, developedBy, Krupp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krupp
Context triple: [88 mm Flak gun, developedBy, Krupp]
  • A. Krupp (company) chosen
    Krupp (company) was a major German industrial conglomerate best known for its steel production and armaments manufacturing, playing a central role in both World Wars and in the development of heavy industry in Germany.
  • B. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • C. 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.
  • 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. Krupp family
    The Krupp family is a prominent German industrial dynasty historically known for its powerful steel and armaments empire centered in Essen.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64108a208190ae7190065818e42c completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e40cb88190953c639ee2464a54 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.