Triple

T10054950
Position Surface form Disambiguated ID Type / Status
Subject Commission for the Control of Interpol’s Files E208836 entity
Predicate shortName P43 FINISHED
Object CCF
CCF is the abbreviation for the Commission for the Control of Interpol’s Files, an independent body that oversees the management and protection of personal data processed by Interpol.
E838557 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: [Commission for the Control of Interpol’s Files, shortName, CCF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CCF
Context triple: [Commission for the Control of Interpol’s Files, shortName, CCF]
  • A. CCF
    CCF is a UK youth military organization that operates within schools to provide cadet training and leadership development across the armed services.
  • B. CCF
    CCF is the IATA airport code for Carcassonne Airport, a regional airport serving the Carcassonne area in southern France.
  • C. CCCF
    CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
  • D. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
  • E. 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.
  • 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: [Commission for the Control of Interpol’s Files, shortName, CCF]
Generated description
CCF is the abbreviation for the Commission for the Control of Interpol’s Files, an independent body that oversees the management and protection of personal data processed by Interpol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CCF
Target entity description: CCF is the abbreviation for the Commission for the Control of Interpol’s Files, an independent body that oversees the management and protection of personal data processed by Interpol.
  • A. CCF
    CCF is a UK youth military organization that operates within schools to provide cadet training and leadership development across the armed services.
  • B. CCF
    CCF is the IATA airport code for Carcassonne Airport, a regional airport serving the Carcassonne area in southern France.
  • C. CCCF
    CCCF was a former regional football confederation in Central America and the Caribbean that governed the sport before being merged into CONCACAF.
  • D. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
  • E. 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.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a49cb208190b56d991a523efbac completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:57 p.m.