Triple

T23368484
Position Surface form Disambiguated ID Type / Status
Subject Oroko E593391 entity
Predicate hasSubgroup P747 FINISHED
Object Mbonge
Mbonge is a subgroup of the Oroko people, an ethnic community primarily found in the Southwest Region of Cameroon.
E1582757 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: Mbonge | Statement: [Oroko, hasSubgroup, Mbonge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbonge
Context triple: [Oroko, hasSubgroup, Mbonge]
  • A. Mbula
    Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
  • B. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • C. Mlolongo
    Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
  • D. Mbengwi
    Mbengwi is a town in western Cameroon that serves as the administrative center of Momo Division in the country's Northwest Region.
  • E. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • 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: Mbonge
Triple: [Oroko, hasSubgroup, Mbonge]
Generated description
Mbonge is a subgroup of the Oroko people, an ethnic community primarily found in the Southwest Region of Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mbonge
Target entity description: Mbonge is a subgroup of the Oroko people, an ethnic community primarily found in the Southwest Region of Cameroon.
  • A. Mbula
    Mbula is an ethnic group in Nigeria known for its distinct language and cultural traditions, living in close proximity to the Bachama people.
  • B. Mpulungu
    Mpulungu is a Zambian port town that serves as the country’s main access point to Lake Tanganyika and a hub for regional fishing and trade.
  • C. Mlolongo
    Mlolongo is a rapidly growing urban town in Kenya’s Machakos County, situated along the Nairobi–Mombasa highway and known for its bustling commercial activity and residential estates.
  • D. Mbengwi
    Mbengwi is a town in western Cameroon that serves as the administrative center of Momo Division in the country's Northwest Region.
  • E. Bongwe
    Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aed374819097d38f51894bee44 completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5ddbd8688190ba51358f22b8fb43 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:32 p.m.