Triple

T6435951
Position Surface form Disambiguated ID Type / Status
Subject Northwest Region (Cameroon) E129894 entity
Predicate contains P35 FINISHED
Object Oku
Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
E593172 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: Oku | Statement: [Northwest Region (Cameroon), contains, Oku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oku
Context triple: [Northwest Region (Cameroon), contains, Oku]
  • A. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • B. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Ogunai
    Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
  • E. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • 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: Oku
Triple: [Northwest Region (Cameroon), contains, Oku]
Generated description
Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oku
Target entity description: Oku is a town and traditional kingdom in Cameroon's Northwest Region, known for its rich cultural heritage, mountainous landscape, and production of Oku white honey.
  • A. Ōtoku
    Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
  • B. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • C. Ogi
    Ogi was a former municipality on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • D. Ogunai
    Ogunai is a small riverside settlement located along the Fly River in Papua New Guinea.
  • E. Ōkuboji
    Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
  • 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_69c069622eb881908b40fc8079d312d6 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f2915c8190aea3578dcd77dd5f completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c64237ae8881908bbaa2760113da7c completed March 27, 2026, 8:39 a.m.
NED2 Entity disambiguation (via description) batch_69c64658463c8190a1d68beec15cab3d completed March 27, 2026, 8:56 a.m.
Created at: March 22, 2026, 4:45 p.m.