Triple

T6812311
Position Surface form Disambiguated ID Type / Status
Subject Lelemi language E156663 entity
Predicate hasAlternativeName P39 FINISHED
Object Lefana (Lelemi)
Lefana (Lelemi) is a Ghanaian Niger-Congo language spoken primarily by the Lelemi people in the Volta Region.
 E620762 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: Lefana (Lelemi) | Statement: [Lelemi language, hasAlternativeName, Lefana (Lelemi)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lefana (Lelemi)
Context triple: [Lelemi language, hasAlternativeName, Lefana (Lelemi)]
  • A. Malamulele
    Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
  • B. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • C. Laiyolo
    Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • D. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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: Lefana (Lelemi)
Triple: [Lelemi language, hasAlternativeName, Lefana (Lelemi)]
Generated description
Lefana (Lelemi) is a Ghanaian Niger-Congo language spoken primarily by the Lelemi people in the Volta Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lefana (Lelemi)
Target entity description: Lefana (Lelemi) is a Ghanaian Niger-Congo language spoken primarily by the Lelemi people in the Volta Region.
  • A. Malamulele
    Malamulele is a major town in South Africa’s Limpopo province, serving as an important local center for commerce and administration within the Vhembe region.
  • B. Nolani
    Nolani are the inhabitants or natives of the city of Nola in southern Italy.
  • C. Laiyolo
    Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
  • D. Nanumba
    The Nanumba are an ethnic group in northern Ghana known for their distinct language, chieftaincy traditions, and agrarian lifestyle.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa8d92c8190b4ddabbaaaf0e309 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71c8f0e6081908a59f0c6ebbe5927 completed March 28, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_69c71f6346108190b13802a2cca38263 completed March 28, 2026, 12:22 a.m.
Created at: March 27, 2026, 2:17 p.m.