Triple

T7399221
Position Surface form Disambiguated ID Type / Status
Subject Krupp family E170702 entity
Predicate associatedCompany P629 FINISHED
Object Krupp AG 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 AG | Statement: [Krupp family, associatedCompany, Krupp AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krupp AG
Context triple: [Krupp family, associatedCompany, Krupp AG]
  • 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. Preussag AG
    Preussag AG was a former German industrial and mining conglomerate that transformed in the 1990s into a tourism-focused company, eventually becoming today’s TUI Group.
  • D. ThyssenKrupp AG
    ThyssenKrupp AG is a major German multinational conglomerate specializing in industrial engineering and steel production, with significant operations in areas such as elevators, automotive components, and plant technology.
  • E. Deutsche Werft AG
    Deutsche Werft AG was a German shipbuilding company based in Hamburg, known for constructing naval vessels and submarines, particularly during the World War II era.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f24dbf288190b8dfea455148841b completed March 27, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ed378308190b925941415db596d completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:10 p.m.