Triple

T3904829
Position Surface form Disambiguated ID Type / Status
Subject Mswati III E90580 entity
Predicate positionHeld P8 FINISHED
Object Ngwenyama of Eswatini 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: Ngwenyama of Eswatini | Statement: [Mswati III, positionHeld, Ngwenyama of Eswatini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngwenyama of Eswatini
Context triple: [Mswati III, positionHeld, Ngwenyama of Eswatini]
  • A. Mswati III
    Mswati III is the absolute monarch of Eswatini, known as one of the world’s last remaining absolute kings.
  • B. Longuda
    Longuda are an ethnic group in northeastern Nigeria, primarily known for their distinct language and cultural presence in and around Adamawa State.
  • C. Eswatini chosen
    Eswatini is a small landlocked monarchy in Southern Africa known for its blend of traditional Swazi culture and modern institutions.
  • D. Prince Cedza Dlamini
    Prince Cedza Dlamini is a Swazi royal and social entrepreneur known for his work in youth leadership and development, as well as being the grandson of Nelson Mandela.
  • E. Zwelibanzi Hlongwane
    Zwelibanzi Hlongwane is a South African businessman best known as the former husband of Zindzi Mandela, the daughter of Nelson Mandela.
  • 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_69b528540ad48190ac86774c76a2ffd4 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:22 p.m.