Triple

T6077240
Position Surface form Disambiguated ID Type / Status
Subject West Region E135430 entity
Predicate hasDepartment P35 FINISHED
Object Bamboutos
Bamboutos is a department in western Cameroon known for its highland landscapes and agricultural activities.
 E565688 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: Bamboutos | Statement: [West Region, hasDepartment, Bamboutos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bamboutos
Context triple: [West Region, hasDepartment, Bamboutos]
  • A. Harakmbut
    The Harakmbut are an indigenous people of the Peruvian Amazon known for their distinct languages, forest-based livelihoods, and deep cultural ties to the Madre de Dios region.
  • B. Banabans
    Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
  • C. Kakkalos
    Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
  • D. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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: Bamboutos
Triple: [West Region, hasDepartment, Bamboutos]
Generated description
Bamboutos is a department in western Cameroon known for its highland landscapes and agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bamboutos
Target entity description: Bamboutos is a department in western Cameroon known for its highland landscapes and agricultural activities.
  • A. Harakmbut
    The Harakmbut are an indigenous people of the Peruvian Amazon known for their distinct languages, forest-based livelihoods, and deep cultural ties to the Madre de Dios region.
  • B. Banabans
    Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
  • C. Kakkalos
    Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
  • D. Kodo
    Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0576ef2c88190b0ec62e9f041d176 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d43f7908190845c2337cd243a3c completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11db0b62c81908584215a5092a7a8 completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11e4685d08190ac97e2356e64527e completed March 23, 2026, 11:04 a.m.
Created at: March 22, 2026, 4:11 p.m.