Triple

T16703780
Position Surface form Disambiguated ID Type / Status
Subject OECD Insurance and Private Pensions Outlook E405910 entity
Predicate usesDataFrom P399 FINISHED
Object OECD Global Pension Statistics
OECD Global Pension Statistics is an international database compiled by the OECD that provides comparable, detailed data on pension systems and private pension funds across member and partner countries.
 E1229577 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: OECD Global Pension Statistics | Statement: [OECD Insurance and Private Pensions Outlook, usesDataFrom, OECD Global Pension Statistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OECD Global Pension Statistics
Context triple: [OECD Insurance and Private Pensions Outlook, usesDataFrom, OECD Global Pension Statistics]
  • A. OECD Insurance and Private Pensions Outlook
    The OECD Insurance and Private Pensions Outlook is a recurring analytical publication that assesses global trends, risks, and policy developments in insurance markets and private pension systems.
  • B. PensionDanmark
    PensionDanmark is a major Danish labor-market pension fund that actively invests in large-scale infrastructure and renewable energy projects.
  • C. Social Security Trust Funds
    The Social Security Trust Funds are federal accounts that hold and manage payroll tax revenues to finance Social Security retirement, disability, and survivors benefits in the United States.
  • D. OECD Better Life Index
    The OECD Better Life Index is an interactive tool that compares countries’ well-being across multiple dimensions such as income, health, education, and life satisfaction to go beyond traditional economic measures like GDP.
  • E. National Pension program
    The National Pension program is Taiwan’s basic social insurance scheme that provides retirement, disability, and survivor benefits to residents not otherwise covered by employment-based pension systems.
  • 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: OECD Global Pension Statistics
Triple: [OECD Insurance and Private Pensions Outlook, usesDataFrom, OECD Global Pension Statistics]
Generated description
OECD Global Pension Statistics is an international database compiled by the OECD that provides comparable, detailed data on pension systems and private pension funds across member and partner countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OECD Global Pension Statistics
Target entity description: OECD Global Pension Statistics is an international database compiled by the OECD that provides comparable, detailed data on pension systems and private pension funds across member and partner countries.
  • A. OECD Insurance and Private Pensions Outlook
    The OECD Insurance and Private Pensions Outlook is a recurring analytical publication that assesses global trends, risks, and policy developments in insurance markets and private pension systems.
  • B. PensionDanmark
    PensionDanmark is a major Danish labor-market pension fund that actively invests in large-scale infrastructure and renewable energy projects.
  • C. Social Security Trust Funds
    The Social Security Trust Funds are federal accounts that hold and manage payroll tax revenues to finance Social Security retirement, disability, and survivors benefits in the United States.
  • D. OECD Better Life Index
    The OECD Better Life Index is an interactive tool that compares countries’ well-being across multiple dimensions such as income, health, education, and life satisfaction to go beyond traditional economic measures like GDP.
  • E. National Pension program
    The National Pension program is Taiwan’s basic social insurance scheme that provides retirement, disability, and survivor benefits to residents not otherwise covered by employment-based pension systems.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833496dc8190ae4b4a03ba04d69d completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a0092f76d188190aae1f3d8bad47a1b completed May 10, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0093ad67808190b4a983122e0a0415 completed May 10, 2026, 2:18 p.m.
Created at: April 10, 2026, 5:19 a.m.