Triple

T3904871
Position Surface form Disambiguated ID Type / Status
Subject Swazi people E90581 entity
Predicate ethnonym P4709 FINISHED
Object Swazi E16080 NE FINISHED

How this triple was built (2 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 | Statement: [Swazi people, ethnonym, Swazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swazi
Context triple: [Swazi people, ethnonym, Swazi]
  • A. Eswatini chosen
    Eswatini is a small landlocked monarchy in Southern Africa known for its blend of traditional Swazi culture and modern institutions.
  • B. Lesotho
    Lesotho is a small, landlocked constitutional monarchy in Southern Africa, entirely surrounded by South Africa and known for its mountainous terrain and high-altitude settlements.
  • C. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • D. Motswana
    A Motswana is an individual belonging to the Tswana ethnic group, primarily associated with the country of Botswana and neighboring regions of Southern Africa.
  • E. Botswana
    Botswana is a landlocked country in Southern Africa known for its stable democracy, significant diamond resources, and vast wildlife-rich landscapes including the Okavango Delta.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd42094fec819099d8a8fbeca71bd4 completed March 20, 2026, 12:48 p.m.
Created at: March 9, 2026, 3:22 p.m.