Triple

T15978263
Position Surface form Disambiguated ID Type / Status
Subject Nuba peoples E387505 entity
Predicate hasSubgroup P747 FINISHED
Object Dilling people E872581 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: Dilling people | Statement: [Nuba peoples, hasSubgroup, Dilling people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dilling people
Context triple: [Nuba peoples, hasSubgroup, Dilling people]
  • A. Dilling
    Dilling is a Nubian language spoken primarily in the Nuba Mountains region of Sudan.
  • B. Dilling
    Dilling is a small village in Norway located within Moss municipality in Viken county.
  • C. Diller
    Diller is a surname most prominently associated with American media executive and businessman Barry Diller.
  • D. Denning
    Denning is a surname most prominently associated with Peter J. Denning, an influential American computer scientist known for his work in operating systems and the science of computing.
  • E. Dilling language chosen
    The Dilling language is a Kadu (Kadugli) language spoken by the Dilling people in the Nuba Mountains region of Sudan.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c9567c8190af87c3fcf8a4af15 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.