Triple

T7541510
Position Surface form Disambiguated ID Type / Status
Subject Djurgårdens IF E178284 entity
Predicate shortName P43 FINISHED
Object DIF
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.
 E672135 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: [Djurgårdens IF, shortName, DIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DIF
Context triple: [Djurgårdens IF, shortName, 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. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • C. 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.
  • D. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • E. D
    D is the standard siglum used by scholars to designate the Codex Bezae, an important early bilingual Greek-Latin manuscript of the New Testament.
  • 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: [Djurgårdens IF, shortName, DIF]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DIF
Target entity description: 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.
  • 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. DF
    DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
  • C. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • D. D
    D is the standard siglum used by scholars to designate the Codex Bezae, an important early bilingual Greek-Latin manuscript of the New Testament.
  • 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. 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8750f80819088ddfb7a5580b5df completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853bc094c8190ba4e7ecb069c2c02 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c85412e6308190893a500e2395bd94 completed March 28, 2026, 10:20 p.m.
Created at: March 27, 2026, 3:48 p.m.