Triple

T21907067
Position Surface form Disambiguated ID Type / Status
Subject German Research Center for Artificial Intelligence E540966 entity
Predicate cooperatesWith P435 FINISHED
Object DFG NE NERFINISHED

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: DFG | Statement: [German Research Center for Artificial Intelligence, cooperatesWith, DFG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DFG
Context triple: [German Research Center for Artificial Intelligence, cooperatesWith, DFG]
  • A. DFG chosen
    DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • B. DFG
    DFG is the Massachusetts state agency responsible for conserving and managing fish, wildlife, and related natural resources.
  • C. DGF
    DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
  • D. DFGP
    DFGP is the German abbreviation for Switzerland’s Federal Department of Justice and Police, the federal authority responsible for justice, security, and migration matters.
  • E. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d74d388190be58b937c486fa69 completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:38 p.m.