Triple

T8613312
Position Surface form Disambiguated ID Type / Status
Subject Center for Civic Engagement E203968 entity
Predicate abbreviation P43 FINISHED
Object CCE
CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
 E745422 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: CCE | Statement: [Center for Civic Engagement, abbreviation, CCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CCE
Context triple: [Center for Civic Engagement, abbreviation, CCE]
  • A. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • B. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • C. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • D. CCEO
    CCEO is the commonly used abbreviation for the Code of Canons of the Eastern Churches, the body of canon law governing the Eastern Catholic Churches.
  • E. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, United States.
  • 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: CCE
Triple: [Center for Civic Engagement, abbreviation, CCE]
Generated description
CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CCE
Target entity description: CCE is an abbreviation commonly used for the Center for Civic Engagement, an organization that promotes community involvement, public service, and civic responsibility.
  • A. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • B. CEC
    CEC is the three-letter IATA airport code for Del Norte County Regional Airport in Crescent City, California.
  • C. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • D. CCEO
    CCEO is the commonly used abbreviation for the Code of Canons of the Eastern Churches, the body of canon law governing the Eastern Catholic Churches.
  • E. CCO
    CCO is the FAA location identifier for Newnan–Coweta County Airport in Georgia, 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4700b9e08190b03f05f4757cfc47 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:25 p.m.