Triple

T3904877
Position Surface form Disambiguated ID Type / Status
Subject Swazi people E90581 entity
Predicate usesLanguage P238 FINISHED
Object Swazi language
Swazi language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
E397190 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: Swazi language | Statement: [Swazi people, usesLanguage, Swazi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swazi language
Context triple: [Swazi people, usesLanguage, Swazi language]
  • A. Tswa language
    The Tswa language is a Bantu language of southern Africa, spoken mainly in Mozambique and neighboring regions, and is closely related to Xitsonga within the Tswa-Ronga group.
  • B. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • C. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • D. Malaweg language
    The Malaweg language is an Austronesian language spoken primarily in the northern Philippines, particularly in parts of Cagayan province, by the Malaweg ethnic group.
  • E. Setswana
    Setswana is a Bantu language spoken primarily in Botswana and parts of South Africa, known for being one of the region’s major indigenous languages.
  • 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: Swazi language
Triple: [Swazi people, usesLanguage, Swazi language]
Generated description
Swazi language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Swazi language
Target entity description: Swazi language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
  • A. Tswa language
    The Tswa language is a Bantu language of southern Africa, spoken mainly in Mozambique and neighboring regions, and is closely related to Xitsonga within the Tswa-Ronga group.
  • B. Tshivenda
    Tshivenda is a Bantu language spoken primarily by the Venda people in northern South Africa and neighboring regions.
  • C. Xitsonga
    Xitsonga is a Bantu language spoken primarily by the Tsonga people in southern Africa, notably in South Africa, Mozambique, and Zimbabwe.
  • D. Malaweg language
    The Malaweg language is an Austronesian language spoken primarily in the northern Philippines, particularly in parts of Cagayan province, by the Malaweg ethnic group.
  • E. Setswana
    Setswana is a Bantu language spoken primarily in Botswana and parts of South Africa, known for being one of the region’s major indigenous languages.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed0fb9888190add847806555a14a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51ca9d32881908538065ee71b31c2 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b51d8510c08190a88a1a8f044b3c59 completed March 14, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69b51e08c7ac8190aab4b270258cdb69 completed March 14, 2026, 8:36 a.m.
Created at: March 9, 2026, 3:22 p.m.