Triple

T10407311
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Agriculture and Farmers Welfare E245295 entity
Predicate oversees P46 FINISHED
Object National e-Governance Plan in Agriculture
The National e-Governance Plan in Agriculture is an Indian government initiative that leverages digital technologies and information systems to improve agricultural services, information delivery, and decision-making for farmers and stakeholders.
E861905 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: National e-Governance Plan in Agriculture | Statement: [Ministry of Agriculture and Farmers Welfare, oversees, National e-Governance Plan in Agriculture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National e-Governance Plan in Agriculture
Context triple: [Ministry of Agriculture and Farmers Welfare, oversees, National e-Governance Plan in Agriculture]
  • A. UNU Operating Unit on Policy-Driven Electronic Governance
    The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
  • B. United Nations E-Government Survey
    The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
  • C. New Zealand e-government services
    New Zealand e-government services are the suite of digital platforms and online tools through which the New Zealand government delivers public services and information to citizens, businesses, and visitors.
  • D. Division for Public Institutions and Digital Government
    The Division for Public Institutions and Digital Government is a branch of the UN that supports countries in strengthening public governance and leveraging digital technologies to advance sustainable development and effective, accountable institutions.
  • E. National Programs in Crop Production and Protection
    National Programs in Crop Production and Protection are coordinated U.S. Agricultural Research Service initiatives that develop and apply scientific advances to improve crop yields, resilience, and protection from pests, diseases, and environmental stresses.
  • 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: National e-Governance Plan in Agriculture
Triple: [Ministry of Agriculture and Farmers Welfare, oversees, National e-Governance Plan in Agriculture]
Generated description
The National e-Governance Plan in Agriculture is an Indian government initiative that leverages digital technologies and information systems to improve agricultural services, information delivery, and decision-making for farmers and stakeholders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: National e-Governance Plan in Agriculture
Target entity description: The National e-Governance Plan in Agriculture is an Indian government initiative that leverages digital technologies and information systems to improve agricultural services, information delivery, and decision-making for farmers and stakeholders.
  • A. UNU Operating Unit on Policy-Driven Electronic Governance
    The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
  • B. United Nations E-Government Survey
    The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
  • C. New Zealand e-government services
    New Zealand e-government services are the suite of digital platforms and online tools through which the New Zealand government delivers public services and information to citizens, businesses, and visitors.
  • D. Division for Public Institutions and Digital Government
    The Division for Public Institutions and Digital Government is a branch of the UN that supports countries in strengthening public governance and leveraging digital technologies to advance sustainable development and effective, accountable institutions.
  • E. National Programs in Crop Production and Protection
    National Programs in Crop Production and Protection are coordinated U.S. Agricultural Research Service initiatives that develop and apply scientific advances to improve crop yields, resilience, and protection from pests, diseases, and environmental stresses.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9f834288190a0df246974ffaea8 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbf1c428819099ca359309c4c836 completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d597088190bf3dca85e1ddb890 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859cc1aac8190ab232bb4e4e4fac1 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 12:09 p.m.