Triple

T19585181
Position Surface form Disambiguated ID Type / Status
Subject state of emergency (Switzerland) E490088 entity
Predicate historicalUse P98 FINISHED
Object COVID-19 pandemic response in Switzerland
The COVID-19 pandemic response in Switzerland comprised a series of federal and cantonal public health, social, and economic measures—including emergency powers, restrictions, and support programs—aimed at controlling virus transmission while balancing regional autonomy and economic stability.
E1385167 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: COVID-19 pandemic response in Switzerland | Statement: [state of emergency (Switzerland), historicalUse, COVID-19 pandemic response in Switzerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COVID-19 pandemic response in Switzerland
Context triple: [state of emergency (Switzerland), historicalUse, COVID-19 pandemic response in Switzerland]
  • A. COVID-19 pandemic response in Boston
    The COVID-19 pandemic response in Boston refers to the public health, economic, and community measures led by then-mayor Marty Walsh to mitigate the spread and impact of the coronavirus in the city.
  • B. COVID-19 pandemic response in North Carolina
    The COVID-19 pandemic response in North Carolina refers to the statewide public health, policy, and emergency management efforts—led in part by health official Mandy Cohen—to mitigate the spread and impact of COVID-19 across the state.
  • C. COVID-19 pandemic response in Mississippi
    The COVID-19 pandemic response in Mississippi refers to the policies, public health measures, and political decisions implemented in the state—led by Governor Tate Reeves—to manage the spread and impact of the coronavirus.
  • D. Management of the COVID-19 pandemic in Northern Ireland
    Management of the COVID-19 pandemic in Northern Ireland refers to the policies, public health measures, and governmental response implemented to control the spread and impact of COVID-19 within Northern Ireland.
  • E. COVID-19 non-pharmaceutical intervention policies in the United Kingdom
    COVID-19 non-pharmaceutical intervention policies in the United Kingdom were the government’s public health measures—such as lockdowns, social distancing, and school closures—implemented to control the spread of the coronavirus without relying on vaccines or drug treatments.
  • 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: COVID-19 pandemic response in Switzerland
Triple: [state of emergency (Switzerland), historicalUse, COVID-19 pandemic response in Switzerland]
Generated description
The COVID-19 pandemic response in Switzerland comprised a series of federal and cantonal public health, social, and economic measures—including emergency powers, restrictions, and support programs—aimed at controlling virus transmission while balancing regional autonomy and economic stability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COVID-19 pandemic response in Switzerland
Target entity description: The COVID-19 pandemic response in Switzerland comprised a series of federal and cantonal public health, social, and economic measures—including emergency powers, restrictions, and support programs—aimed at controlling virus transmission while balancing regional autonomy and economic stability.
  • A. COVID-19 pandemic response in Boston
    The COVID-19 pandemic response in Boston refers to the public health, economic, and community measures led by then-mayor Marty Walsh to mitigate the spread and impact of the coronavirus in the city.
  • B. COVID-19 pandemic response in North Carolina
    The COVID-19 pandemic response in North Carolina refers to the statewide public health, policy, and emergency management efforts—led in part by health official Mandy Cohen—to mitigate the spread and impact of COVID-19 across the state.
  • C. COVID-19 pandemic response in Mississippi
    The COVID-19 pandemic response in Mississippi refers to the policies, public health measures, and political decisions implemented in the state—led by Governor Tate Reeves—to manage the spread and impact of the coronavirus.
  • D. Management of the COVID-19 pandemic in Northern Ireland
    Management of the COVID-19 pandemic in Northern Ireland refers to the policies, public health measures, and governmental response implemented to control the spread and impact of COVID-19 within Northern Ireland.
  • E. COVID-19 non-pharmaceutical intervention policies in the United Kingdom
    COVID-19 non-pharmaceutical intervention policies in the United Kingdom were the government’s public health measures—such as lockdowns, social distancing, and school closures—implemented to control the spread of the coronavirus without relying on vaccines or drug treatments.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640513134819082cf233fa3dcc911 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1122a08190961b2c0ae2e9f900 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fed0ac4819088569b4854cf1ab9 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076070784c81908d28306344363c53 completed May 15, 2026, 6:05 p.m.
Created at: April 10, 2026, 1:42 p.m.