Triple

T6435995
Position Surface form Disambiguated ID Type / Status
Subject Southwest Region (Cameroon) E129895 entity
Predicate containsTown P847 FINISHED
Object Nguti
Nguti is a town in the forested interior of Cameroon's Southwest Region, known as a local administrative and trading center for surrounding rural communities.
 E593182 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: Nguti | Statement: [Southwest Region (Cameroon), containsTown, Nguti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nguti
Context triple: [Southwest Region (Cameroon), containsTown, Nguti]
  • A. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nungua
    Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
  • E. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • 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: Nguti
Triple: [Southwest Region (Cameroon), containsTown, Nguti]
Generated description
Nguti is a town in the forested interior of Cameroon's Southwest Region, known as a local administrative and trading center for surrounding rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nguti
Target entity description: Nguti is a town in the forested interior of Cameroon's Southwest Region, known as a local administrative and trading center for surrounding rural communities.
  • A. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • B. Muribenua
    Muribenua is a village on the low-lying coral atoll of Nikunau in the Republic of Kiribati, a Pacific island nation.
  • C. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • D. Nungua
    Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
  • E. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • 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.