Triple

T4727201
Position Surface form Disambiguated ID Type / Status
Subject Combined Cadet Force E104912 entity
Predicate hasAbbreviation P43 FINISHED
Object CCF
CCF is a UK youth military organization that operates within schools to provide cadet training and leadership development across the armed services.
 E465250 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: CCF | Statement: [Combined Cadet Force, hasAbbreviation, CCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CCF
Context triple: [Combined Cadet Force, hasAbbreviation, CCF]
  • A. CCCF
    CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
  • B. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
  • C. CCS
    CCS (ACM Conference on Computer and Communications Security) is a premier annual research conference focusing on cutting-edge topics in information security and privacy.
  • D. CCS
    CCS is the abbreviated name for the Caribbean Community Secretariat, the principal administrative body supporting the Caribbean Community (CARICOM).
  • E. CCS
    CCS is the Crown Commercial Service, a UK government agency that helps public sector organizations procure goods and services efficiently and cost-effectively.
  • 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: CCF
Triple: [Combined Cadet Force, hasAbbreviation, CCF]
Generated description
CCF is a UK youth military organization that operates within schools to provide cadet training and leadership development across the armed services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CCF
Target entity description: CCF is a UK youth military organization that operates within schools to provide cadet training and leadership development across the armed services.
  • A. CCCF
    CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
  • B. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
  • C. CCS
    CCS (ACM Conference on Computer and Communications Security) is a premier annual research conference focusing on cutting-edge topics in information security and privacy.
  • D. CCS
    CCS is the abbreviated name for the Caribbean Community Secretariat, the principal administrative body supporting the Caribbean Community (CARICOM).
  • E. CCS
    CCS is the Crown Commercial Service, a UK government agency that helps public sector organizations procure goods and services efficiently and cost-effectively.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd644872508190887043de6c30c3da completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a07bc8819086c29ec0b466ce2c completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1559e6488190ab395ba3f6e18f96 completed March 21, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69be15ba6dac8190b37130ba0a9209c3 completed March 21, 2026, 3:51 a.m.
Created at: March 20, 2026, 1:18 p.m.