Triple

T16418133
Position Surface form Disambiguated ID Type / Status
Subject Mara Region E398740 entity
Predicate capital P234 FINISHED
Object Musoma
Musoma is a Tanzanian town on the eastern shore of Lake Victoria that serves as an important commercial and transport hub in the country’s northwest.
E1211816 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: Musoma | Statement: [Mara Region, capital, Musoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musoma
Context triple: [Mara Region, capital, Musoma]
  • A. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • B. Bosambo
    Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
  • C. Uvira
    Uvira is a city in the eastern Democratic Republic of the Congo, located on the northern shores of Lake Tanganyika near the border with Burundi.
  • D. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. Buduburam
    Buduburam is a town in Ghana best known for hosting a large refugee settlement, particularly for Liberian refugees, and has grown into a diverse suburban community.
  • 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: Musoma
Triple: [Mara Region, capital, Musoma]
Generated description
Musoma is a Tanzanian town on the eastern shore of Lake Victoria that serves as an important commercial and transport hub in the country’s northwest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Musoma
Target entity description: Musoma is a Tanzanian town on the eastern shore of Lake Victoria that serves as an important commercial and transport hub in the country’s northwest.
  • A. Nimule
    Nimule is a South Sudanese border town near Uganda that serves as a key trade and transport hub in the region.
  • B. Bosambo
    Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
  • C. Uvira
    Uvira is a city in the eastern Democratic Republic of the Congo, located on the northern shores of Lake Tanganyika near the border with Burundi.
  • D. Barawa
    Barawa is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • E. Buduburam
    Buduburam is a town in Ghana best known for hosting a large refugee settlement, particularly for Liberian refugees, and has grown into a diverse suburban community.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6ca1bc8190a6c4f675ec8e3a53 completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003e3b113c819083e1abc512631e2b completed May 10, 2026, 8:13 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.