Triple

T8901329
Position Surface form Disambiguated ID Type / Status
Subject Business Cycles E211935 entity
Predicate relatedConcept P37 FINISHED
Object Kondratiev waves
Kondratiev waves are long-term (roughly 40–60 year) economic cycles characterized by alternating periods of rapid growth and slower development, often linked to major technological and structural changes in the economy.
E764576 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: Kondratiev waves | Statement: [Business Cycles, relatedConcept, Kondratiev waves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kondratiev waves
Context triple: [Business Cycles, relatedConcept, Kondratiev waves]
  • A. National Bureau of Economic Research studies in business cycles
    National Bureau of Economic Research studies in business cycles is a scholarly series of empirical and historical research volumes analyzing fluctuations and long-term patterns in the U.S. and global economies.
  • B. Business Cycle Dating Committee
    The Business Cycle Dating Committee is a panel of economists that officially determines the dates of recessions and expansions in the U.S. economy.
  • C. Business Cycles in the United States of America, 1919–1932
    "Business Cycles in the United States of America, 1919–1932" is an influential econometric study by Jan Tinbergen that analyzes and models U.S. economic fluctuations during the interwar period.
  • D. A Contribution to the Theory of the Trade Cycle
    A Contribution to the Theory of the Trade Cycle is an influential economic work by John R. Hicks that develops a formal model to explain the causes and dynamics of business cycles.
  • E. Reports on the relation of corporate combinations to business cycles
    "Reports on the relation of corporate combinations to business cycles" is an early 20th-century U.S. government study analyzing how large corporate consolidations influence economic fluctuations and business cycles.
  • 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: Kondratiev waves
Triple: [Business Cycles, relatedConcept, Kondratiev waves]
Generated description
Kondratiev waves are long-term (roughly 40–60 year) economic cycles characterized by alternating periods of rapid growth and slower development, often linked to major technological and structural changes in the economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kondratiev waves
Target entity description: Kondratiev waves are long-term (roughly 40–60 year) economic cycles characterized by alternating periods of rapid growth and slower development, often linked to major technological and structural changes in the economy.
  • A. National Bureau of Economic Research studies in business cycles
    National Bureau of Economic Research studies in business cycles is a scholarly series of empirical and historical research volumes analyzing fluctuations and long-term patterns in the U.S. and global economies.
  • B. Business Cycle Dating Committee
    The Business Cycle Dating Committee is a panel of economists that officially determines the dates of recessions and expansions in the U.S. economy.
  • C. Business Cycles in the United States of America, 1919–1932
    "Business Cycles in the United States of America, 1919–1932" is an influential econometric study by Jan Tinbergen that analyzes and models U.S. economic fluctuations during the interwar period.
  • D. A Contribution to the Theory of the Trade Cycle
    A Contribution to the Theory of the Trade Cycle is an influential economic work by John R. Hicks that develops a formal model to explain the causes and dynamics of business cycles.
  • E. Reports on the relation of corporate combinations to business cycles
    "Reports on the relation of corporate combinations to business cycles" is an early 20th-century U.S. government study analyzing how large corporate consolidations influence economic fluctuations and business cycles.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6428ffc48190814f6b865961dbd1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac1846f481909aad27a6dacddba2 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfacb58f208190b5e8eeba58f1bd78 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad73f7a8819089ee3dadf321220e completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:54 p.m.