Triple

T15871528
Position Surface form Disambiguated ID Type / Status
Subject Basotho blanket E384839 entity
Predicate hasDesignType P16808 FINISHED
Object Khotso E384836 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: Khotso | Statement: [Basotho blanket, hasDesignType, Khotso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khotso
Context triple: [Basotho blanket, hasDesignType, Khotso]
  • A. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • B. Mokorotlo chosen
    Mokorotlo is a traditional Basotho conical hat, typically woven from grass, that serves as a national cultural symbol of Lesotho.
  • C. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • D. Kagiso
    Kagiso is a township in South Africa’s Gauteng province, situated west of Johannesburg and known for its dense residential communities and vibrant local culture.
  • E. Keabetswe
    Keabetswe is the given first name of Mokgweetsi Masisi, the president of Botswana.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fa1aac81908e4b86abedf295ca completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59ddc488190ae6b6913f85005f6 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:50 a.m.