Triple

T7544167
Position Surface form Disambiguated ID Type / Status
Subject Ubangian E178353 entity
Predicate majorLanguage P207 FINISHED
Object Zande
Zande is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
 E672216 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: Zande | Statement: [Ubangian, majorLanguage, Zande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zande
Context triple: [Ubangian, majorLanguage, Zande]
  • A. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • B. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • C. Nuba
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Sambia
    Sambia is a historical region on the Baltic Sea coast, now part of Russia’s Kaliningrad Oblast, known for its amber deposits and former role within East Prussia.
  • E. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • 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: Zande
Triple: [Ubangian, majorLanguage, Zande]
Generated description
Zande is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zande
Target entity description: Zande is a Central African language spoken primarily by the Azande people across parts of South Sudan, the Central African Republic, and the Democratic Republic of the Congo.
  • A. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • B. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • C. Nuba
    Nuba is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Sambia
    Sambia is a historical region on the Baltic Sea coast, now part of Russia’s Kaliningrad Oblast, known for its amber deposits and former role within East Prussia.
  • E. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f896a27481908b2e120208f268e7 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.