Triple

T17363996
Position Surface form Disambiguated ID Type / Status
Subject Kamtok E422140 entity
Predicate hasAlternativeName P39 FINISHED
Object CPE
CPE (Cameroon Pidgin English) is an English-based creole widely used as a lingua franca in Cameroon across diverse ethnic and linguistic groups.
 E1265056 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: CPE | Statement: [Kamtok, hasAlternativeName, CPE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CPE
Context triple: [Kamtok, hasAlternativeName, CPE]
  • A. CPE
    CPE is the IATA airport code for Ing. Alberto Acuña Ongay International Airport serving Campeche, Mexico.
  • 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. CEEPC
    CEEPC is a policy committee focused on developing and coordinating regional strategies related to climate, energy, and environmental issues.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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: CPE
Triple: [Kamtok, hasAlternativeName, CPE]
Generated description
CPE (Cameroon Pidgin English) is an English-based creole widely used as a lingua franca in Cameroon across diverse ethnic and linguistic groups.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CPE
Target entity description: CPE (Cameroon Pidgin English) is an English-based creole widely used as a lingua franca in Cameroon across diverse ethnic and linguistic groups.
  • A. CPE
    CPE is the IATA airport code for Ing. Alberto Acuña Ongay International Airport serving Campeche, Mexico.
  • 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. CEEPC
    CEEPC is a policy committee focused on developing and coordinating regional strategies related to climate, energy, and environmental issues.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01956294ec819083c1dde8fc2685e4 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a019b7ab6bc8190843e2c6c7f2007d7 completed May 11, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a019c53d8b0819083f380693943f881 completed May 11, 2026, 9:07 a.m.
Created at: April 10, 2026, 5:44 a.m.