Triple

T2233682
Position Surface form Disambiguated ID Type / Status
Subject Teso language E49228 entity
Predicate closelyRelatedTo P37 FINISHED
Object Toposa language
The Toposa language is an Eastern Nilotic language spoken primarily by the Toposa people of South Sudan and neighboring regions.
 E249869 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: Toposa language | Statement: [Teso language, closelyRelatedTo, Toposa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toposa language
Context triple: [Teso language, closelyRelatedTo, Toposa language]
  • A. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • B. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Ipai language
    The Ipai language is a Native American language traditionally spoken by the Kumeyaay (Ipai) people of southern California and northern Baja California.
  • E. Enawené-Nawé language
    The Enawené-Nawé language is an indigenous Arawakan language spoken by the Enawené-Nawé people of the Brazilian Amazon, known for its highly endangered status and rich oral tradition.
  • 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: Toposa language
Triple: [Teso language, closelyRelatedTo, Toposa language]
Generated description
The Toposa language is an Eastern Nilotic language spoken primarily by the Toposa people of South Sudan and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toposa language
Target entity description: The Toposa language is an Eastern Nilotic language spoken primarily by the Toposa people of South Sudan and neighboring regions.
  • A. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • B. Piapoco language
    The Piapoco language is an indigenous Arawakan language spoken by the Piapoco people of Colombia and Venezuela.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Ipai language
    The Ipai language is a Native American language traditionally spoken by the Kumeyaay (Ipai) people of southern California and northern Baja California.
  • E. Enawené-Nawé language
    The Enawené-Nawé language is an indigenous Arawakan language spoken by the Enawené-Nawé people of the Brazilian Amazon, known for its highly endangered status and rich oral tradition.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ba743081908e2697374e710681 completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae73e2af5c8190a7dfbf5ff03e4edd completed March 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae745c7cfc81909ef4be9b73899058 completed March 9, 2026, 7:18 a.m.
Created at: March 4, 2026, 7:47 p.m.