Triple

T21982466
Position Surface form Disambiguated ID Type / Status
Subject Council on Economic and Fiscal Policy E542874 entity
Predicate shortName P43 FINISHED
Object CEFP
CEFP is the abbreviation for Japan’s Council on Economic and Fiscal Policy, a key government body that helps shape the country’s economic and fiscal strategies.
 E1512148 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: CEFP | Statement: [Council on Economic and Fiscal Policy, shortName, CEFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CEFP
Context triple: [Council on Economic and Fiscal Policy, shortName, CEFP]
  • A. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • B. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • C. CEF
    CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
  • D. CEF
    CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
  • E. CEF
    CEF is the National Rail station code for Chapel-en-le-Frith railway station in Derbyshire, England.
  • 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: CEFP
Triple: [Council on Economic and Fiscal Policy, shortName, CEFP]
Generated description
CEFP is the abbreviation for Japan’s Council on Economic and Fiscal Policy, a key government body that helps shape the country’s economic and fiscal strategies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CEFP
Target entity description: CEFP is the abbreviation for Japan’s Council on Economic and Fiscal Policy, a key government body that helps shape the country’s economic and fiscal strategies.
  • A. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • B. CEF
    CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
  • C. CEF
    CEF is the National Rail station code for Chapel-en-le-Frith railway station in Derbyshire, England.
  • D. CEF
    CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
  • E. CEF
    CEF is the IATA airport code for Westover Metropolitan Airport, a public and military airfield in Chicopee, Massachusetts, United States.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270629588190aea32fbe630e4cba completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d7a14448190b7797258d5ed6579 completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e18d4f48190bfb917c9c9109ea5 completed May 18, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ee56684819082d2001b2e817ed8 completed May 18, 2026, 1:44 a.m.
Created at: April 16, 2026, 8:04 p.m.