Triple

T8227509
Position Surface form Disambiguated ID Type / Status
Subject Federal Social Court of Germany E192208 entity
Predicate shortName P43 FINISHED
Object BSG
BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
 E720536 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: BSG | Statement: [Federal Social Court of Germany, shortName, BSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSG
Context triple: [Federal Social Court of Germany, shortName, BSG]
  • A. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • B. SSBG
    SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
  • C. BSA
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • D. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • E. BSA
    BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
  • 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: BSG
Triple: [Federal Social Court of Germany, shortName, BSG]
Generated description
BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSG
Target entity description: BSG is the abbreviation for Germany’s Federal Social Court, the highest court for social law matters in the country.
  • A. BSG
    BSG is the IATA airport code for Bata Airport, serving the city of Bata in Equatorial Guinea.
  • B. SSBG
    SSBG is a federal funding program in the United States that provides flexible grants to states to support a wide range of social services for vulnerable populations.
  • C. BSA
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • D. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • E. BSA
    BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fdcb048190868ea4995b020a37 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34d4b6ec81909bc5d23bad1f326b completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd36ef47e88190ae96ea2459552247 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4eb519608190b5d0f534170214b5 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:46 p.m.