Triple

T14569083
Position Surface form Disambiguated ID Type / Status
Subject DELAG E341863 entity
Predicate foundedBy P104 FINISHED
Object Dresdner Bank E564855 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: Dresdner Bank | Statement: [DELAG, foundedBy, Dresdner Bank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dresdner Bank
Context triple: [DELAG, foundedBy, Dresdner Bank]
  • A. Dresdner Bank chosen
    Dresdner Bank was one of Germany’s major commercial banks, historically influential in the country’s financial and industrial development.
  • B. Commerzbank AG
    Commerzbank AG is a major German commercial bank headquartered in Frankfurt, known as one of the country’s leading financial institutions serving corporate, institutional, and retail clients.
  • C. Deutsche Rentenbank
    Deutsche Rentenbank was the German financial institution established in 1923 to stabilize the currency and restore confidence during the hyperinflation crisis of the Weimar Republic.
  • D. Deutsche Bank
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • E. KfW Bankengruppe
    KfW Bankengruppe is Germany’s state-owned development bank group that finances public policy objectives such as infrastructure, SMEs, housing, and environmental projects domestically and abroad.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94b4013881908fddb8b3cf8494de completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:23 a.m.