Triple

T1648406
Position Surface form Disambiguated ID Type / Status
Subject Spending Review E35634 entity
Predicate predecessor P97 FINISHED
Object Public Expenditure Survey system
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
E186250 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: Public Expenditure Survey system | Statement: [Spending Review, predecessor, Public Expenditure Survey system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Public Expenditure Survey system
Context triple: [Spending Review, predecessor, Public Expenditure Survey system]
  • A. Medical Expenditure Panel Survey
    The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
  • B. U.S. Federal Statistical System
    The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
  • C. OpenSpending
    OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
  • D. National Economic Accounts
    The National Economic Accounts are a system of U.S. macroeconomic statistics that track aggregate measures like gross domestic product, income, and expenditure to assess overall economic performance.
  • E. United Nations System of National Accounts
    The United Nations System of National Accounts is an internationally agreed statistical framework that provides standardized concepts, definitions, classifications, and accounting rules for measuring a country’s economic activity and compiling national accounts such as GDP.
  • 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: Public Expenditure Survey system
Triple: [Spending Review, predecessor, Public Expenditure Survey system]
Generated description
The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Public Expenditure Survey system
Target entity description: The Public Expenditure Survey system was a former UK government framework for planning, controlling, and reviewing public spending across departments.
  • A. Medical Expenditure Panel Survey
    The Medical Expenditure Panel Survey is a large-scale, nationally representative U.S. survey that collects detailed data on healthcare use, costs, insurance coverage, and access to care for individuals and families.
  • B. U.S. Federal Statistical System
    The U.S. Federal Statistical System is the decentralized network of federal agencies responsible for collecting, analyzing, and disseminating official national statistics on the economy, population, health, and other key aspects of American life.
  • C. OpenSpending
    OpenSpending is an open data project and platform that collects, visualizes, and makes government and public financial information accessible and analyzable.
  • D. National Economic Accounts
    The National Economic Accounts are a system of U.S. macroeconomic statistics that track aggregate measures like gross domestic product, income, and expenditure to assess overall economic performance.
  • E. United Nations System of National Accounts
    The United Nations System of National Accounts is an internationally agreed statistical framework that provides standardized concepts, definitions, classifications, and accounting rules for measuring a country’s economic activity and compiling national accounts such as GDP.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a6537e0819082b966023e0c0583 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a73a288190a659e2a1f09ba524 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61323b308190b883c4bf2c3ca1bf completed March 8, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69ad622acf5881908add72069bd2f060 completed March 8, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:29 p.m.