Triple

T12382528
Position Surface form Disambiguated ID Type / Status
Subject Timeless E295778 entity
Predicate genre P14 FINISHED
Object Amapiano E944738 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: Amapiano | Statement: [Timeless, genre, Amapiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amapiano
Context triple: [Timeless, genre, Amapiano]
  • A. Kwaito chosen
    Kwaito is a South African music genre that blends house beats with hip-hop and local township influences, often featuring laid-back vocals and socially conscious lyrics.
  • B. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • C. Nyimba
    Nyimba is a town in eastern Zambia that lies along the Great East Road and serves as a local commercial and transit hub.
  • D. Singbonga
    Singbonga is the supreme creator deity and sun god revered in the traditional religion of the Munda and other Austroasiatic tribal communities of eastern and central India.
  • E. Banda-Ndélé
    Banda-Ndélé is a Banda language variety spoken in the Central African Republic, primarily by the Banda-Ndélé ethnic group.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.