Triple

T10581856
Position Surface form Disambiguated ID Type / Status
Subject Federal Judicial Weekly E249753 entity
Predicate abbreviation P43 FINISHED
Object SJF
SJF is the standard abbreviation used for the German legal journal "Federal Judicial Weekly" (Bundesgerichtshof decisions reporter).
 E630623 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: SJF | Statement: [Federal Judicial Weekly, abbreviation, SJF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SJF
Context triple: [Federal Judicial Weekly, abbreviation, SJF]
  • A. SJF
    SJF is the ICAO airline designator assigned to AJet, a commercial air carrier.
  • B. SFIO
    SFIO (Section Française de l'Internationale Ouvrière) was a major French socialist political party that played a central role in left-wing politics from the early 20th century until it evolved into the modern Socialist Party.
  • C. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. Job Entry Subsystem 2
    Job Entry Subsystem 2 (JES2) is an IBM mainframe component of the z/OS operating system that manages the input, scheduling, and output of batch jobs and spooled data.
  • 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: SJF
Triple: [Federal Judicial Weekly, abbreviation, SJF]
Generated description
SJF is the standard abbreviation used for the German legal journal "Federal Judicial Weekly" (Bundesgerichtshof decisions reporter).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SJF
Target entity description: SJF is the standard abbreviation used for the German legal journal "Federal Judicial Weekly" (Bundesgerichtshof decisions reporter).
  • A. SJF chosen
    SJF is the ICAO airline designator assigned to AJet, a commercial air carrier.
  • B. SFIO
    SFIO (Section Française de l'Internationale Ouvrière) was a major French socialist political party that played a central role in left-wing politics from the early 20th century until it evolved into the modern Socialist Party.
  • C. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • D. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • E. Job Entry Subsystem 2
    Job Entry Subsystem 2 (JES2) is an IBM mainframe component of the z/OS operating system that manages the input, scheduling, and output of batch jobs and spooled data.
  • F. None of above.

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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5275b2424819093331b3777f12beb completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b78ff28819085acf84418d54733 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.