Triple

T2346986
Position Surface form Disambiguated ID Type / Status
Subject Deposit Insurance Fund E45152 entity
Predicate hasAbbreviation P43 FINISHED
Object DIF
DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
 E259430 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: DIF | Statement: [Deposit Insurance Fund, hasAbbreviation, DIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIF
Context triple: [Deposit Insurance Fund, hasAbbreviation, DIF]
  • A. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • B. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • C. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • D. D
    The D is a New York City Subway service that runs on the IND Sixth Avenue Line in Manhattan and connects Rockefeller Center with other major destinations across the city.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • 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: DIF
Triple: [Deposit Insurance Fund, hasAbbreviation, DIF]
Generated description
DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIF
Target entity description: DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
  • A. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • B. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • C. D
    The D is a New York City Subway service that runs on the IND Sixth Avenue Line in Manhattan and connects Rockefeller Center with other major destinations across the city.
  • D. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • E. DI
    DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c9396081908abb2b0a229bb046 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9629f4908190ba3c51b7d12be4e4 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae99f64ab48190b5760eb75276342c completed March 9, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_69ae9ad9706081909593ca75126c43e8 completed March 9, 2026, 10:03 a.m.
Created at: March 4, 2026, 7:52 p.m.