Triple

T21330228
Position Surface form Disambiguated ID Type / Status
Subject Nande people E525877 entity
Predicate language P15 FINISHED
Object Nande language
The Nande language is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
 E1479161 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: Nande language | Statement: [Nande people, language, Nande language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nande language
Context triple: [Nande people, language, Nande language]
  • A. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • B. Nankani language
    The Nankani language is a Gur language spoken primarily by the Nankani people in northern Ghana and parts of Burkina Faso.
  • C. Zande language
    The Zande language 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.
  • D. Nembe language
    The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
  • E. Ndam language
    Ndam language is a Central Sudanic language spoken by the Ndam people in parts of Chad.
  • 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: Nande language
Triple: [Nande people, language, Nande language]
Generated description
The Nande language is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nande language
Target entity description: The Nande language is a Bantu language spoken primarily by the Nande people in the eastern Democratic Republic of the Congo.
  • A. Nandi language
    The Nandi language is a Southern Nilotic language spoken primarily by the Nandi people of Kenya, closely related to other Kalenjin languages.
  • B. Nankani language
    The Nankani language is a Gur language spoken primarily by the Nankani people in northern Ghana and parts of Burkina Faso.
  • C. Zande language
    The Zande language 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.
  • D. Nembe language
    The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
  • E. Ndam language
    Ndam language is a Central Sudanic language spoken by the Ndam people in parts of Chad.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab5177dc8190b888351e9a45b45f completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5bc6710819086935b80f3d669cd completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6848c1c8190992ae7cdfeabdcf8 completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09aae23f2c81908f08d290277e22f9 completed May 17, 2026, 11:47 a.m.
Created at: April 16, 2026, 4:42 p.m.