Triple

T11310876
Position Surface form Disambiguated ID Type / Status
Subject siSwati E267830 entity
Predicate hasDialects P4251 FINISHED
Object Southern Swati
Southern Swati is a regional dialect of the siSwati language spoken primarily in the southern parts of Eswatini and neighboring areas.
E919738 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: Southern Swati | Statement: [siSwati, hasDialects, Southern Swati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Swati
Context triple: [siSwati, hasDialects, Southern Swati]
  • A. Northern Swati
    Northern Swati is a regional variety of the siSwati language spoken primarily in the northern areas of Eswatini and neighboring regions.
  • B. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • C. Northern Ndebele
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • D. Southwest Bantu
    Southwest Bantu is a subgroup of the Bantu language family comprising closely related languages spoken primarily in southwestern Africa.
  • E. Northwest Bantu
    Northwest Bantu is a subgroup of Bantu languages spoken in parts of Central and West-Central Africa, encompassing languages such as Fang.
  • 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: Southern Swati
Triple: [siSwati, hasDialects, Southern Swati]
Generated description
Southern Swati is a regional dialect of the siSwati language spoken primarily in the southern parts of Eswatini and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Southern Swati
Target entity description: Southern Swati is a regional dialect of the siSwati language spoken primarily in the southern parts of Eswatini and neighboring areas.
  • A. Northern Swati
    Northern Swati is a regional variety of the siSwati language spoken primarily in the northern areas of Eswatini and neighboring regions.
  • B. Southern Ndebele
    Southern Ndebele is a Bantu language spoken primarily in South Africa, known for its distinctive click sounds and cultural association with the Ndebele people.
  • C. Northern Ndebele
    Northern Ndebele is a Bantu language of the Nguni group spoken primarily in southwestern Zimbabwe and closely related to Zulu.
  • D. Southwest Bantu
    Southwest Bantu is a subgroup of the Bantu language family comprising closely related languages spoken primarily in southwestern Africa.
  • E. Northwest Bantu
    Northwest Bantu is a subgroup of Bantu languages spoken in parts of Central and West-Central Africa, encompassing languages such as Fang.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:32 p.m.