Triple

T18175348
Position Surface form Disambiguated ID Type / Status
Subject Department of Physics, University of Trento E435140 entity
Predicate abbreviation P43 FINISHED
Object DIF 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: DIF | Statement: [Department of Physics, University of Trento, abbreviation, DIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIF
Context triple: [Department of Physics, University of Trento, abbreviation, DIF]
  • A. DIF
    DIF is the acronym for the Deposit Insurance Fund, a financial reserve used to protect depositors by covering insured deposits when banks fail.
  • B. DIF chosen
    DIF is the commonly used abbreviation for Djurgårdens IF, a major multi-sport club from Stockholm best known for its football and ice hockey teams.
  • C. DF
    DF is the commonly used abbreviation for the Danish People’s Party, a right-wing populist and nationalist political party in Denmark.
  • D. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • E. 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.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5900788190994525954a89fa3c completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.