Triple

T6435600
Position Surface form Disambiguated ID Type / Status
Subject Yaoundé E129885 entity
Predicate regionCode P208 FINISHED
Object CM-CE
CM-CE is the regional code for the Centre Region of Cameroon, which includes the capital city, Yaoundé.
 E591936 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: CM-CE | Statement: [Yaoundé, regionCode, CM-CE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CM-CE
Context triple: [Yaoundé, regionCode, CM-CE]
  • A. CMa
    CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
  • B. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • C. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • D. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • E. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • 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: CM-CE
Triple: [Yaoundé, regionCode, CM-CE]
Generated description
CM-CE is the regional code for the Centre Region of Cameroon, which includes the capital city, Yaoundé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CM-CE
Target entity description: CM-CE is the regional code for the Centre Region of Cameroon, which includes the capital city, Yaoundé.
  • A. CMa
    CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
  • B. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • C. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • D. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • E. CCE
    CCE is a division at the California Institute of Technology focused on research and education in chemistry and chemical engineering.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6420e3fe48190aef959cb7ab1e0d3 completed March 27, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69c642a344e48190bccb0f0d122fca4c completed March 27, 2026, 8:41 a.m.
Created at: March 22, 2026, 4:45 p.m.