Triple

T2887606
Position Surface form Disambiguated ID Type / Status
Subject Bube E59542 entity
Predicate hasDialects P4251 FINISHED
Object Southern Bube E59542 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: Southern Bube | Statement: [Bube, hasDialects, Southern Bube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southern Bube
Context triple: [Bube, hasDialects, Southern Bube]
  • A. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • B. Bube chosen
    Bube is a Bantu language spoken primarily by the Bubi people on Bioko Island in Equatorial Guinea.
  • C. Dixie
    Dixie is a well-known American consumer brand specializing in disposable tableware products such as paper plates, cups, and napkins.
  • D. Ob. Süd
    Ob. Süd was the German military high command responsible for directing operations in the southern theater, particularly in the Mediterranean and North Africa, during World War II.
  • E. Empire State of the South
    Empire State of the South is a nickname for the U.S. state of Georgia, reflecting its historical economic dominance and cultural influence in the American South.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe047aa7c8190a0ed570c13f3a1a2 completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317601688190a8a99644579b137c completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.