Triple

T4936747
Position Surface form Disambiguated ID Type / Status
Subject Kivu E110828 entity
Predicate hasEthnicGroups P12220 FINISHED
Object Nande
The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
 E481131 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 | Statement: [Kivu, hasEthnicGroups, Nande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nande
Context triple: [Kivu, hasEthnicGroups, Nande]
  • A. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • B. Naden
    Naden is a principal naval base area within Canadian Forces Base Esquimalt that serves as a key hub for Royal Canadian Navy operations and administration on the Pacific coast.
  • C. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • D. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • E. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • 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
Triple: [Kivu, hasEthnicGroups, Nande]
Generated description
The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nande
Target entity description: The Nande are a Bantu-speaking ethnic group primarily inhabiting the mountainous regions of North Kivu in the eastern Democratic Republic of the Congo, known for their farming, trade, and distinct cultural traditions.
  • A. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • B. Naden
    Naden is a principal naval base area within Canadian Forces Base Esquimalt that serves as a key hub for Royal Canadian Navy operations and administration on the Pacific coast.
  • C. Naba-Nita
    Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
  • D. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • E. Nuna
    Nuna is an alternative name historically used for the South American country of Colombia.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7085b1dc819099408f6503f0210f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77ba40f881908452455ad55221e5 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be7928b7308190b84af8aee60e3f24 completed March 21, 2026, 10:55 a.m.
NED2 Entity disambiguation (via description) batch_69be79a6634c8190bae1fa09eedd6829 completed March 21, 2026, 10:57 a.m.
Created at: March 20, 2026, 1:30 p.m.