Triple

T13671909
Position Surface form Disambiguated ID Type / Status
Subject Number One E327769 entity
Predicate genre P14 FINISHED
Object Bongo Flava E1053006 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: Bongo Flava | Statement: [Number One, genre, Bongo Flava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bongo Flava
Context triple: [Number One, genre, Bongo Flava]
  • A. Bongo Flava chosen
    Bongo Flava is a popular Tanzanian music genre that blends hip hop, R&B, reggae, and traditional East African sounds, often featuring Swahili lyrics and socially conscious themes.
  • B. Dor Bongo
    Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
  • C. 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.
  • D. Boogie Down
    "Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
  • E. Boogie Down
    Boogie Down is a soul and R&B song by American singer-songwriter and producer Frank Wilson, recognized as one of his notable recordings.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943bfaf0819097410e901847d77c completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.