Triple

T21504671
Position Surface form Disambiguated ID Type / Status
Subject Commonwealth Consortium for Education E530566 entity
Predicate abbreviation P43 FINISHED
Object CCfE
CCfE is an international education-focused consortium within the Commonwealth that promotes collaboration, policy dialogue, and support for quality education across member countries.
 E1488277 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: CCfE | Statement: [Commonwealth Consortium for Education, abbreviation, CCfE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CCfE
Context triple: [Commonwealth Consortium for Education, abbreviation, CCfE]
  • A. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • B. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • C. CCE
    CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
  • D. EFC
    EFC is the common abbreviation for Empoli Football Club, an Italian professional football team based in Empoli, Tuscany.
  • E. EFC
    EFC is the commonly used abbreviation for the European Union’s Economic and Financial Committee, which advises on economic and financial policy matters.
  • 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: CCfE
Triple: [Commonwealth Consortium for Education, abbreviation, CCfE]
Generated description
CCfE is an international education-focused consortium within the Commonwealth that promotes collaboration, policy dialogue, and support for quality education across member countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CCfE
Target entity description: CCfE is an international education-focused consortium within the Commonwealth that promotes collaboration, policy dialogue, and support for quality education across member countries.
  • A. CFE
    CFE is the IATA airport code for Clermont-Ferrand Auvergne Airport in central France.
  • B. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • C. CCE
    CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
  • D. EFC
    EFC is the common abbreviation for Empoli Football Club, an Italian professional football team based in Empoli, Tuscany.
  • E. EFC
    EFC is the commonly used abbreviation for the European Union’s Economic and Financial Committee, which advises on economic and financial policy matters.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea7b9ab88190b0db5e5ae43057e9 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1414ca88190973fcd9d2866c883 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e2d3cc6881909c1c23d06b8dfb16 completed May 17, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_6a09e346d35481909a6c12377e12e525 completed May 17, 2026, 3:48 p.m.
Created at: April 16, 2026, 6:24 p.m.