Triple

T292415
Position Surface form Disambiguated ID Type / Status
Subject Airbus E6021 entity
Predicate majorShareholder P347 FINISHED
Object German state via KfW E32593 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: German state via KfW | Statement: [Airbus, majorShareholder, German state via KfW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: German state via KfW
Context triple: [Airbus, majorShareholder, German state via KfW]
  • A. German Research Foundation
    The German Research Foundation is Germany’s central self-governing research funding organization, supporting research projects and infrastructure across all disciplines at universities and research institutions.
  • B. German states
    The German states were a collection of historically independent and semi-autonomous territories in Central Europe that later formed the core of modern Germany.
  • C. Baden-Württemberg chosen
    Baden-Württemberg is a federal state in southwest Germany known for its strong economy, automotive industry, and cities like Stuttgart, Heidelberg, and Freiburg.
  • D. European Investment Bank
    The European Investment Bank is the European Union’s long-term lending institution, financing projects that support EU policy goals such as sustainable development, innovation, and infrastructure.
  • E. Federal Ministry of Education and Research
    The Federal Ministry of Education and Research is a German federal government ministry responsible for national policy, funding, and strategic planning in education, science, and research.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e975d2c0819082bbf6a0f3d928af completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33d3f6c8190bb97e903e6e7283f completed March 1, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.