Triple

T4647307
Position Surface form Disambiguated ID Type / Status
Subject Infection Protection Act of Germany E102203 entity
Predicate shortName P43 FINISHED
Object IfSG
IfSG is the German Infection Protection Act, a federal law that regulates measures for preventing and controlling infectious diseases in Germany.
 E457064 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: IfSG | Statement: [Infection Protection Act of Germany, shortName, IfSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IfSG
Context triple: [Infection Protection Act of Germany, shortName, IfSG]
  • A. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • D. GSOFG
    GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
  • E. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • 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: IfSG
Triple: [Infection Protection Act of Germany, shortName, IfSG]
Generated description
IfSG is the German Infection Protection Act, a federal law that regulates measures for preventing and controlling infectious diseases in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IfSG
Target entity description: IfSG is the German Infection Protection Act, a federal law that regulates measures for preventing and controlling infectious diseases in Germany.
  • A. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • B. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • C. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • D. GSOFG
    GSOFG was the abbreviated designation for the Group of Soviet Occupation Forces in Germany, the Soviet military formation responsible for administering and controlling occupied East Germany after World War II.
  • E. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb9422e48190819d5d99e72e8854 completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc6ac91c819090776365d3dc05d4 completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:14 p.m.