Triple

T3992363
Position Surface form Disambiguated ID Type / Status
Subject Tunisian economy E87019 entity
Predicate internationalInstitutionRelationship P53711 FINISHED
Object International Monetary Fund E11558 NE FINISHED

How this triple was built (3 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: International Monetary Fund | Statement: [Tunisian economy, internationalInstitutionRelationship, International Monetary Fund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: International Monetary Fund
Context triple: [Tunisian economy, internationalInstitutionRelationship, International Monetary Fund]
  • A. International Monetary Fund chosen
    The International Monetary Fund is a global financial institution that promotes international monetary cooperation, financial stability, and economic growth by providing policy advice, financial assistance, and technical support to its member countries.
  • B. International Bank for Reconstruction and Development
    The International Bank for Reconstruction and Development is the main lending arm of the World Bank that provides loans and financial services to middle-income and creditworthy low-income countries to support development and reduce poverty.
  • C. World Bank
    The World Bank is an international financial institution that provides loans, grants, and expertise to developing countries to support economic development and reduce poverty.
  • D. Bank for International Settlements
    The Bank for International Settlements is an international financial institution that serves as a bank for central banks, fostering global monetary and financial stability through cooperation, research, and policy support.
  • E. World Bank Group
    The World Bank Group is an international financial institution that provides loans, grants, and expertise to developing countries to reduce poverty and support economic development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internationalInstitutionRelationship
Context triple: [Tunisian economy, internationalInstitutionRelationship, International Monetary Fund]
  • A. politicalRelation
    Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
  • B. diplomaticRelation
    Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
  • C. diplomaticAssociation
    Indicates a formal diplomatic relationship or affiliation that exists or is established between two or more entities.
  • D. diplomaticRelationBetween
    Indicates the existence of a formal diplomatic relationship or ties between two political entities or states.
  • E. relationshipWithUN
    Indicates the existence or nature of a formal or informal association, affiliation, or interaction between an entity and the United Nations.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540139c2c819080aa19b13540c76a completed March 14, 2026, 11:01 a.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefb7f92348190ae35f1d75b0b5d4f completed March 9, 2026, 4:55 p.m.
Created at: March 9, 2026, 3:33 p.m.