Triple

T10490291
Position Surface form Disambiguated ID Type / Status
Subject Teso E247398 entity
Predicate ethnicGroup P194 FINISHED
Object Iteso
The Iteso are a Nilotic ethnic group primarily inhabiting eastern Uganda and western Kenya, known for their agro-pastoral lifestyle and rich cultural traditions.
 E867511 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: Iteso | Statement: [Teso, ethnicGroup, Iteso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iteso
Context triple: [Teso, ethnicGroup, Iteso]
  • A. Owendo
    Owendo is a port city in western Gabon that serves as an important industrial and maritime hub near the capital, Libreville.
  • B. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • C. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • D. Kisoro
    Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
  • E. Cacongo
    Cacongo is a coastal town and municipality in Angola’s oil-rich Cabinda exclave, known historically as a trading port on the Atlantic coast.
  • 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: Iteso
Triple: [Teso, ethnicGroup, Iteso]
Generated description
The Iteso are a Nilotic ethnic group primarily inhabiting eastern Uganda and western Kenya, known for their agro-pastoral lifestyle and rich cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iteso
Target entity description: The Iteso are a Nilotic ethnic group primarily inhabiting eastern Uganda and western Kenya, known for their agro-pastoral lifestyle and rich cultural traditions.
  • A. Owendo
    Owendo is a port city in western Gabon that serves as an important industrial and maritime hub near the capital, Libreville.
  • B. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • C. Gokwe
    Gokwe is a town in central Zimbabwe known for its cotton farming and role as a commercial hub in the Midlands Province.
  • D. Kisoro
    Kisoro is a small town in southwestern Uganda known as a gateway to gorilla trekking and the nearby Bwindi Impenetrable and Mgahinga Gorilla National Parks.
  • E. Cacongo
    Cacongo is a coastal town and municipality in Angola’s oil-rich Cabinda exclave, known historically as a trading port on the Atlantic coast.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901ef24608190934377d9dc855d6f completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:23 p.m.