Triple

T18595706
Position Surface form Disambiguated ID Type / Status
Subject Social Code Book I E454488 entity
Predicate shortName P43 FINISHED
Object SGB I
SGB I is the first book of Germany’s Social Code, laying down the general principles and basic rights governing the country’s social security system.
 E1332962 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: SGB I | Statement: [Social Code Book I, shortName, SGB I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGB I
Context triple: [Social Code Book I, shortName, SGB I]
  • A. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • B. SGB V
    SGB V is the German Social Code Book V, the central legal framework governing statutory health insurance in Germany.
  • C. SBG
    SBG is the abbreviation of the Société Biblique de Genève, a Geneva-based Bible society dedicated to translating, publishing, and distributing the Bible.
  • D. SGB XI
    SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
  • E. SBL
    SBL is the commonly used acronym for Taiwan’s professional Super Basketball League.
  • 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: SGB I
Triple: [Social Code Book I, shortName, SGB I]
Generated description
SGB I is the first book of Germany’s Social Code, laying down the general principles and basic rights governing the country’s social security system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGB I
Target entity description: SGB I is the first book of Germany’s Social Code, laying down the general principles and basic rights governing the country’s social security system.
  • A. SGB
    SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • B. SGB V
    SGB V is the German Social Code Book V, the central legal framework governing statutory health insurance in Germany.
  • C. SBG
    SBG is the abbreviation of the Société Biblique de Genève, a Geneva-based Bible society dedicated to translating, publishing, and distributing the Bible.
  • D. SGB XI
    SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
  • E. SBL
    SBL is the commonly used acronym for Taiwan’s professional Super Basketball League.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545ba3bc881908f5308e09d54e05b completed April 19, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037eda788190977fcb50aa4d2357 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504cd76388190b67c78250297573d completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505482c588190952fe07726f64b93 completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:44 a.m.