Triple

T11612080
Position Surface form Disambiguated ID Type / Status
Subject Listahanan E275408 entity
Predicate acronymMeaning P43 FINISHED
Object National Household Targeting System for Poverty Reduction
The National Household Targeting System for Poverty Reduction is the Philippine government’s information system that identifies and profiles poor households to ensure that social protection programs are accurately targeted to those most in need.
E936652 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 Household Targeting System for Poverty Reduction | Statement: [Listahanan, acronymMeaning, National Household Targeting System for Poverty Reduction]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Household Targeting System for Poverty Reduction
Context triple: [Listahanan, acronymMeaning, National Household Targeting System for Poverty Reduction]
  • A. Report of the Expert Group to Review the Methodology for Estimation of Poverty (Tendulkar Committee Report)
    The "Report of the Expert Group to Review the Methodology for Estimation of Poverty" (Tendulkar Committee Report) is a landmark Indian government study that redefined the official methodology for measuring poverty in India, influencing subsequent poverty lines and policy debates.
  • B. Multidimensional Poverty Index
    The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
  • C. Foster-Greer-Thorbecke poverty measures
    The Foster-Greer-Thorbecke poverty measures are a family of quantitative indices used in economics to assess the incidence, depth, and severity of poverty within a population.
  • D. Research and Information System for Developing Countries
    Research and Information System for Developing Countries is an Indian policy research think tank that provides analysis and recommendations on international economic development, trade, and cooperation issues, particularly for developing nations.
  • E. Programme of Action for the Least Developed Countries
    The Programme of Action for the Least Developed Countries is a comprehensive international development framework that outlines priority measures and commitments to support the economic and social progress of the world’s poorest and most vulnerable countries.
  • 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 Household Targeting System for Poverty Reduction
Triple: [Listahanan, acronymMeaning, National Household Targeting System for Poverty Reduction]
Generated description
The National Household Targeting System for Poverty Reduction is the Philippine government’s information system that identifies and profiles poor households to ensure that social protection programs are accurately targeted to those most in need.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: National Household Targeting System for Poverty Reduction
Target entity description: The National Household Targeting System for Poverty Reduction is the Philippine government’s information system that identifies and profiles poor households to ensure that social protection programs are accurately targeted to those most in need.
  • A. Report of the Expert Group to Review the Methodology for Estimation of Poverty (Tendulkar Committee Report)
    The "Report of the Expert Group to Review the Methodology for Estimation of Poverty" (Tendulkar Committee Report) is a landmark Indian government study that redefined the official methodology for measuring poverty in India, influencing subsequent poverty lines and policy debates.
  • B. Multidimensional Poverty Index
    The Multidimensional Poverty Index is a global measure that assesses poverty by capturing multiple deprivations in health, education, and living standards at the household and individual level.
  • C. Foster-Greer-Thorbecke poverty measures
    The Foster-Greer-Thorbecke poverty measures are a family of quantitative indices used in economics to assess the incidence, depth, and severity of poverty within a population.
  • D. Research and Information System for Developing Countries
    Research and Information System for Developing Countries is an Indian policy research think tank that provides analysis and recommendations on international economic development, trade, and cooperation issues, particularly for developing nations.
  • E. Programme of Action for the Least Developed Countries
    The Programme of Action for the Least Developed Countries is a comprehensive international development framework that outlines priority measures and commitments to support the economic and social progress of the world’s poorest and most vulnerable countries.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a043a3c08190a20cbc2ba5a8d218 completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a8311bcc8190a3fe7d28c593aea3 completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af9665648190b7732076aa129671 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b41febc8190bc37672535735710 completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.