Triple

T340002
Position Surface form Disambiguated ID Type / Status
Subject German Research Foundation E6812 entity
Predicate abbreviation P43 FINISHED
Object DFG
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
 E43147 NE FINISHED

How this triple was built (4 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 Foundation, abbreviation, DFG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DFG
Context triple: [German Research Foundation, abbreviation, DFG]
  • A. DFE
    DFE is the National Rail station code for Dunfermline Town railway station in Fife, Scotland.
  • B. FSG
    FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
  • C. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • D. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DFG
Triple: [German Research Foundation, abbreviation, DFG]
Generated description
DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DFG
Target entity description: DFG is Germany’s central self-governing research funding organization, supporting scientific and academic research across all disciplines.
  • A. DFE
    DFE is the National Rail station code for Dunfermline Town railway station in Fife, Scotland.
  • B. FSG
    FSG is a global sports investment company best known for owning major franchises such as the Boston Red Sox and Liverpool FC.
  • C. DGS
    DGS is the California state agency that provides centralized business, procurement, real estate, and support services to other government departments.
  • D. DGC
    DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • F. None of above. chosen

Provenance (5 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae4fcc08190bd4c2bf0149c8b50 completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e701408190a13f8c50c1271bb4 completed March 1, 2026, 5:55 a.m.
NEDg Description generation batch_69a3d534891c8190adc4ffc0762730d4 completed March 1, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69a3d5d1ed8c8190ba5306b6f2304e62 completed March 1, 2026, 5:59 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.