Triple

T20694309
Position Surface form Disambiguated ID Type / Status
Subject Committee on Consumer Policy E508625 entity
Predicate shortName P43 FINISHED
Object CCP
The CCP is an international committee that develops and promotes policies to protect and empower consumers in markets and digital environments.
E1036151 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: CCP | Statement: [Committee on Consumer Policy, shortName, CCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CCP
Context triple: [Committee on Consumer Policy, shortName, CCP]
  • A. CCP
    CCP is the IATA airport code for Carriel Sur International Airport, which serves the city of Concepción in Chile.
  • B. CCP
    CCP is the commonly used English abbreviation for the Chinese Communist Party, the ruling political party of the People’s Republic of China.
  • C. CCP
    CCP is the common abbreviation for Club Cerro Porteño, a major Paraguayan football club based in Asunción.
  • D. CCP
    CCP is the commonly used abbreviation for the Food and Agriculture Organization’s Committee on Commodity Problems, a body that reviews and advises on global agricultural commodity issues and policies.
  • E. CCP
    CCP is a command-line interpreter (command processor) used in the CP/M family of operating systems to accept and execute user commands.
  • 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: CCP
Triple: [Committee on Consumer Policy, shortName, CCP]
Generated description
The CCP is an international committee that develops and promotes policies to protect and empower consumers in markets and digital environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CCP
Target entity description: The CCP is an international committee that develops and promotes policies to protect and empower consumers in markets and digital environments.
  • A. CCP
    CCP is the commonly used English abbreviation for the Chinese Communist Party, the ruling political party of the People’s Republic of China.
  • B. CCP
    CCP is a command-line interpreter (command processor) used in the CP/M family of operating systems to accept and execute user commands.
  • C. CCP
    CCP is the IATA airport code for Carriel Sur International Airport, which serves the city of Concepción in Chile.
  • D. CCP
    CCP is the common abbreviation for Club Cerro Porteño, a major Paraguayan football club based in Asunción.
  • E. CCP chosen
    CCP is the commonly used abbreviation for the Food and Agriculture Organization’s Committee on Commodity Problems, a body that reviews and advises on global agricultural commodity issues and policies.
  • F. None of above.

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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c110c4108190a3ab171df33be194 completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e6a5788190895d7becc9f8136b completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d8e3b1d4819088fb2c3e54b7934e completed May 16, 2026, 8:51 p.m.
NED2 Entity disambiguation (via description) batch_6a08d940f0e88190be17ae56546996af completed May 16, 2026, 8:53 p.m.
Created at: April 16, 2026, 12:10 p.m.